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Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India.Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 8 years of experience with a Master's degree. 3 years of experience as a people manager within a technical leadership role. Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 12 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). 4 years of experience as a people manager within a technical leadership role. Ability to take initiatives and address ambiguous questions. Excellent data visualization skills. About the jobHelp serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. In this role, you will drive our initiatives to enable global operational excellence, advise the data-driven strategy for Geo’s critical emerging markets and provide insights that touch user journeys across the whole spectrum of the Maps space, from helping users find the best restaurant with a voice query to enable companies leveraging our APIs to service millions of people. You will manage a high-impact team of analysts to provide the data foundation necessary to steer Geo’s strategy across multiple organizational boundaries and large variety of executive stakeholders answering questions.Responsibilities Partner with stakeholders across multiple functions (Product Management/Program Management/Software Engineering/UX) to create data driven strategies accounting for a variety of users and requirements across geospatial use cases. Prioritize and communicate user needs, making recommendations and driving implementation for product or process changes to identify top challenges and key strategic growth opportunities. Perform large-scale data analysis, modeling, time series decomposition and more to identify opportunities for improvement and measure shifts in Engineering and Operations deployments worth $400M. Oversee the development of data layers, metrics and modeling to guide Geo Operations' AI Transformation. Expand investigative frameworks to synthesize consumer insights, developer perspectives, and routing quality to create holistic, end-to-end narratives for strategic Maps markets. Execute advanced attribution modeling to quantify the direct impact of data quality improvements on product growth, user reach, and engagement. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 8 years of experience with a Master's degree. Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 12 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). 5 years of experience in extracting and manipulating large datasets and designing ETL flows. About the jobHelp serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. The Business Platform for Sales and Support (BPSS) team is part of Enterprise Platforms and Ecosystems (EPE) within Corporate Engineering (CorpEng), with a mission to build products for Google's internal contact center business for sales and support. We are a fast-moving, high-impact team that operates like a startup, with the resources of Google behind us. As a Data Scientist on this team, you will work closely with product and engineering teams throughout the entire development process to help build and shape next-generation GenAI products for our users.Responsibilities Define, own, and evolve product success metrics, as well as report, analyze, and forecast key product trends to make recommendations for improvement. Perform data exploration to understand user behavior and identify opportunities for improving products. Apply technical expertise in observational data analysis, modeling, and causal inference to answer product questions. Lead the design, analysis, and interpretation of product experiments to measure the causal effects of product changes. Partner with Product, Engineering, and other cross-functional teams to influence, prioritize, and support product strategy. This involves framing and solving ambiguous business problems, acting as a thought partner, influencing a wide range of product and engineering stakeholders. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Gurugram, Haryana, India; Hyderabad, Telangana, India.Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience. Experience building machine learning or data science solutions. Experience writing software in Python, Scala, R, or similar. Experience with data structures, algorithms, and software design. Ability to travel up to 30% of the time. Preferred qualifications: Experience working with recommendation engines, data pipelines, or distributed machine learning, data analytics, data visualization techniques and software, and deep learning frameworks. Experience in software development, professional services, solution engineering, technical consulting, architecting and rolling out new technology and solution initiatives. Experience with core data science techniques. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments. Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks. Excellent customer-facing communication and listening skills. About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a Cloud Engineer, you will play a key role in ensuring that customers have the best experience moving to the Google Cloud machine learning (ML) suite of products. You will design and implement machine learning solutions for customer use cases, leveraging core Google products. You will work with customers to identify opportunities to transform their business with machine learning, and will travel to customer sites to deploy solutions and deliver workshops designed to educate and empower customers to realize the full potential of Google Cloud. You will have access to Google’s technology to monitor application performance, debug and troubleshoot product code, and address customer and partner needs. In this role, you will lead the timely execution of adopting the Google Cloud Platform solutions to the customer’s requirements.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Deliver effective big data and machine learning solutions and solve technical customer issues. Act as a technical advisor to Google’s customers. Identify new product features and feature gaps, provide guidance on existing product issues, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform. Deliver best practice recommendations, tutorials, blog articles, and technical presentations adapting to different levels of key business and technical stakeholders. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Gurugram, Haryana, India; Hyderabad, Telangana, India.Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience. 3 years of experience in building machine learning or data science solutions. Experience in Python, Scala, R, or related languages, including data structures, algorithms, and software design. Ability to travel up to 30% of the time as needed. Preferred qualifications: Experience with recommendation engines, data pipelines, or distributed machine learning with data analytics, data visualization techniques and software, and deep learning frameworks. Experience in software development, professional services, solution engineering, technical consulting with architecting and rolling out new technology and solution initiatives. Experience with data science techniques. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, Transform, and Load/Extract, Load and Transform (ETL/ELT) and reporting tools and environments. Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks. Excellent communication skills. About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. In this role, you will play a role in ensuring that customers have the best experience moving to the Google Cloud machine learning (ML) suite of products. You will design and implement machine learning solutions for customer use cases, leveraging core Google products. You will work with customers to identify opportunities to transform their business with machine learning, and will travel to customer sites to deploy solutions and deliver workshops designed to educate and empower customers to realize the potential of Google Cloud. You will have access to Google’s technology to monitor application performance, debug and troubleshoot product code, and address customer and partner needs.You will lead the execution of adopting the Google Cloud Platform solutions to the customer’s requirements.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Deliver big data and machine learning solutions and solve technical customer tests. Act as a trusted technical advisor to Google’s customers. Identify new product features and feature gaps, provide guidance on existing product tests, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform. Deliver recommendations, tutorials, blog articles, and technical presentations adapting to different levels of business and technical stakeholders. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Join us for a unique 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building. The Software Engineering Internship program will give you an opportunity to work on complex computer science solutions, develop scalable, distributed software systems, and also collaborate on multitudes of smaller projects that have universal appeal.Our recruitment team will determine where you fit best based on your resume.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India; Pune, Maharashtra, India.Minimum qualifications: Pursuing a PhD program with a focus in software development or other technical related field. Experience with one or more general purpose programming languages (e.g., Java, C/C++, Python, JavaScript, Go, etc.). Experience working in Unix/Linux environments. Experience with data structures, algorithms, and software design. Preferred qualifications: Research experience in Algorithms, Architecture, Artificial Intelligence, Compilers, Database, Data Mining, Distributed Systems, Machine Learning, Networking, or Systems. Programming experience in one or more of the following: C/C++, C#, Java, JavaScript, Python Objective C, Go or similar. Experience in computer science, with competencies in data structures, algorithms and software design. About the jobAs a Software Engineering intern, you will work on a specific project critical to Google’s needs.Software Engineering Intern:As a key member of a versatile team, you will work on a specific project critical to Google’s needs. We need our engineers to be versatile, and enthusiastic in addressing problems as we continue to push technology forward. You will design, test, deploy, and maintain software solutions as you grow and evolve during your internship.Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.Responsibilities Create and support a productive and innovative team including working with peers, managers, and teams. Develop scalable engineering solutions for Google products Analyze information and evaluate results to choose the best solution to effectively solve issues. Apply knowledge gained in computer science courses to real world challenges. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience. 5 years of experience in software development using one or more programming languages. 2 years of experience with ML infrastructure, including model deployment, evaluation, data processing, and debugging. 1 year of experience in ML performance, large-scale systems data analysis, ML debugging, Large Language Models (LLMs), or a related area within ML. Preferred qualifications: Master’s degree or PhD in Computer Science or a related technical field. Experience with data structures and algorithm. Ability to develop advanced (e.g., Level 400) AI/ML infrastructure training materials and demos. About the jobGoogle Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Partner with customers to measure Artificial Intelligence/Machine Learning (AI/ML) model performance on Google Cloud infrastructure. Identify and resolve technical bottlenecks to drive customer success. Collaborate with internal infrastructure teams to enhance support for demanding AI workloads. Develop and deliver quality training materials and demos for customers and internal teams. Contribute to product improvement by identifying bugs and recommending enhancements. Write and test production-quality code for system development and deployment. Conduct performance profiling, debugging, and troubleshooting of training and inference workloads. Conduct design and code reviews to ensure adherence to best practices across technologies. Triage, debug, and resolve system issues by analyzing root causes and operational impact. Design and implement specialized ML solutions, leveraging advanced ML infrastructure. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. Experience in designing and integration of internal and third-party applications. Experience in driving engineering and architecture strategies. Experience programming in Java, Python, or C++. Experience with cloud platform. Preferred qualifications: Master's degree in Computer Science, or a related technical field. Experience with financial planning and analysis or equivalent areas in finance engineering. Experience working with web-scale databases and building scalable data pipelines capable of aggregating and processing millions of events per day. Experience integrating custom built solutions with vendor product offerings, particularly integration with finance business processes. Experience with Cloud development and especially Google Cloud and its related technologies. Experience with Anaplan and SAP. About the jobYou lead all aspects of web development, requirements gathering, software development, testing, documentation, training, implementation, ongoing support, and maintenance for both in-house and customer-facing web applications. You will work closely with a cross-functional team of Googlers using UI and functional specs/prototypes as input. You are empowered to act like an owner, take action and innovate to meet user and customer needs. As an Application Engineer, you will design, develop, and test to meet the application needs of Google’s internal customers. You will work on a range of different types of projects and business processes. You will learn new technologies and lead a variety of projects and teams across the organization.At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google’s IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers.Responsibilities Implement various software products and software development life cycle (designing, building, and testing) of internal applications that support internal business processes related to financial planning and analysis. Work with stakeholders to solve complex problems. Partner with internal business teams in developing the system and delivery roadmaps and deliver with repeatable quality and predictability. Set the technical direction and priorities for a small number of adjacent engineers. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in Computer Science, Management Information Systems, or other technical fields, or equivalent practical experience. 8 years of experience in software engineering or enterprise application development. Experience with ServiceNow. Preferred qualifications: Master's degree in Computer Science, MIS or a related technical field or equivalent practical experience. Certified Application Developer (CAD). About the job As an Engineer within our Corporate Engineering ServiceNow Center of Excellence (CoE), you will be instrumental in building out and enhancing our ServiceNow platform capabilities. You will implement platform solutions, drive engineering delivery through participation in design reviews and architectural discussions, and ensure solutions. You will contribute to the transformation of our enterprise technology services by leveraging the expertise in the ServiceNow platform.At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google’s IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers.Responsibilities Write modular, well-structured, and self-sustaining codes, and develop overall systems design, research, and evaluate vendor supplied applications, and develop recommendations on those applications. Build internal solutions, with custom front-end and back-end services with minimal assistance, and identify processes and solutions to ensure controls compliance can be enforced and monitored. Help design, build, and deploy internal business applications to support Google’s technology life cycle, collaboration and spaces, service delivery management, and data and business intelligence. Conduct and oversee testing of application modules to ensure application meets specifications and collaborate with analysts and business process owners within one or more teams to help translate business requirements into technical solutions. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in Engineering, Math, Quantitative Science, or related technical field, or equivalent practical experience. 1 year of experience in statistical problem solving and analyzing data sets using SQL or comparable coding language (e.g. Python, R, Java, C++). 1 year of experience collecting, managing and synthesizing data sets and information from disparate sources to perform data analysis and statistical modeling. Preferred qualifications: 5 years of experience in an investigative role. Experience working with tech teams to improve machine learning models. Experience in project management with data analytics, delivering production level metrics, insights, and actions. Experience working with programming languages such as, Python, Java, JS, R or SAS. Experience with abuse prevention, policy, and regulatory systems. About the jobIn this role, you will analyze data and support systems of review to address those challenges. You will empower Google to enhance the efficiency and accuracy of the operations, resolve the legal challenges and enhance workflows, and support and educate internal stakeholders. You are an independent, critical thinker with excellent metrics judgment who has a passion for coaching others, solving technical challenges, and setting standards. You will balance the requirements Google faces while demonstrating the ability to see the big picture and make quantitatively based recommendations accordingly.You will be required to review graphic, controversial, and sometimes offensive video content during team escalations in line with YouTube’s Community Guidelines, however, such occurrences would be very rare chance encounters. You may also occasionally be required to work on-call or weekend hours.Responsibilities Drive analytics efforts to meet the challenges of international regulation such as Article 17 of EUCD by providing productionalized transparency data to bolster YouTube’s external copyright narrative, as well as detailed analytics of EU copyright operations to help executive Ops and Legal stakeholders monitor risk. Apply advanced statistical methods to data sets in an effort to predict and prevent abuse of the copyright notice and takedown process. Work with cross-functional abuse teams to develop shared strategies to address similar abuse vectors or bad actors. Learn technical concepts, systems and deliver results using them. Communicate technical results and methods. Maintain, foster and promote Copyright Operations quality by providing regular feedback metrics to global review teams. Manage technological solutions for streamlining quality assurance and produce training solutions. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in computer science, management information systems, a similar technical field, or equivalent practical experience. 4 years of experience working with advanced business application programming (ABAP). Experience in one or more of the following: SAP NetWeaver and application architecture, SAP HANA, data integration with SAP, SAP analytics, or SAP cloud solutions Preferred qualifications: Experience working with business software systems and their integration for flow. Experience with finance systems including SAP, business growth recognition (e.g., revenue accounting and reporting (RAR)/billing revenue and innovation management (BRIM)) or sales and distribution (SD). Experience with data storage, data governance, and data modeling. Ability to lead a group of engineers on ambiguous challenges and work with other peers/leads in the ecosystem. Excellent written/verbal communication skills. About the jobYou lead all aspects of web development, requirements gathering, software development, testing, documentation, training, implementation, ongoing support, and maintenance for both in-house and customer-facing web applications. You will work closely with a cross-functional team of Googlers using UI and functional specs/prototypes as input. You are empowered to act like an owner, take action and innovate to meet user and customer needs. At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google’s IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers.Responsibilities Write product or system development code. Understand the overall program objectives, technical dependencies, and find an optimal solution leveraging SAP and first-party products. Develop, build, and deploy financial data products and applications using various platforms and technologies like BigQuery. Work with analysts to translate business requirements into technical solutions. Drive key project deliverables leveraging other FTEs and vendors across teams and geographies. Participate in design reviews with peers and stakeholders to decide amongst available technologies. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.