Data Engineer

Rosetta.ai helps fashion e-commerce uncover consumers' shopping preferences and provide personalized shopping experiences to consumers. We're making e-commerce merchants have enterprise-level AI backup on day 1.

We are a rapidly growing B2B SaaS fashion tech startup that empowers fashion businesses with data-driven insights and advanced analytics. Our innovative platform enables fashion companies to optimize their operations, enhance customer experiences, and drive business growth. As a Data Engineer, you will be a vital part of our dynamic and collaborative team, responsible for designing, building, and maintaining the data infrastructure that fuels our cutting-edge technology.

Responsibilities:

• Collaborate with the engineering and data science teams to design and implement scalable and efficient data architectures to support our growing data needs.
• Build robust data pipelines to extract, transform, and load (ETL) data from various sources into our data warehouse or data lake, ensuring data accuracy and integrity.
• Manage and optimize both SQL and NoSQL databases, ensuring high performance, data availability, and reliability.
• Develop and maintain data models that support business intelligence, reporting, and analytics requirements.
• Work with big data processing frameworks such as Apache Hadoop, Apache Spark, and Apache Kafka to handle large-scale data processing and real-time streaming.
• Utilize cloud-based data platforms like AWS, Azure, or Google Cloud to build scalable and cost-effective data solutions.
• Implement data security measures and data governance practices to safeguard sensitive information and ensure compliance with industry regulations.
• Develop and execute data quality checks and validation processes to maintain the integrity of data throughout the data lifecycle.
• Identify opportunities for performance improvements and implement optimization techniques to enhance data processing efficiency.
• Collaborate with data analysts and business stakeholders to create meaningful data visualizations and dashboards to provide insights and support decision-making.
• Work closely with cross-functional teams, including data scientists, product managers, and software engineers, and maintain detailed documentation of data processes and architecture.

Benefits:

• Healthcare (Medical, Dental, Vision)
• Retirement savings or 401(K)
• Paid time off (Annual)
• Maternity/Paternity leave
• Life insurance

Perks:

• Tuition reimbursement and training
• Personal facilities (Laptop, Screen)
• Free health screening
• Free snacks and drinks
• Open and creative environment
• Irregular dinners/outings, happy hours
• Extended annual time off
• Paid time off to volunteer (Birthday, Menstrual, Funeral)
• Flexible schedules and working time
• Remote working optionally
• Employee stock ownership plan (ESOP)

Culture/6 Core Values:

Grit - We thrive outside of our comfort zone, pushing ourselves to go even further. We think long-term and constantly strive to be better, even if things don’t always go as expected.

Trust - We earn that trust by listening to each other, following through with our commitments, and keeping our word. We exercise transparency within the company, our customers, and our community.

Humility - We learn from everyone and everywhere and approach each new challenge knowing that we may not have all the answers.

Empathy - We craft our intention to keep curious about the industry, business, and practical scenarios so that we purify the insights and forge the approaches.

Candor - We are open and honest. We give each other praise and criticism because we believe each team member is as important as the other.

Craftsmanship - We simplify, innovate, perfect, and start over until everything we touch enhances each life it touches.

Contact:

• Email to [email protected]
• Or, send us on CakeResume

Remarks:

Rosetta.ai is an Equal Employment Opportunity employer. Rosetta.ai conducts all employment-related activities without regard to race, religion, color, national origin, age, sex, marital status, sexual orientation, disability, citizenship status, genetics, or any other characteristic protected by law.

[Minimum Qualifications]

BACKGROUND & SKILLS:

• Bachelor's degree in Computer Science, Data Science, or a related field.
• Proven experience as a Data Engineer or similar role,
• Strong proficiency in SQL and NoSQL databases, data modeling, and database optimization.
• Hands-on experience with big data processing frameworks (e.g., Hadoop, Spark) and cloud-based data platforms (e.g., AWS, Azure, GCP).
• Proficiency in programming languages like Python, Java, or Scala.
• Familiarity with ETL tools, data integration, and data pipeline development.
• Understanding of data quality assurance and data governance best practices.
• Knowledge of data visualization tools and techniques is a plus.

WORKING STYLE:

• Highly motivated and entrepreneurial.
• Comfortable dealing with ambiguity.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication and teamwork abilities.

[Preferred Qualifications]

BACKGROUND & SKILLS:

• Advanced degree in Computer Science, Data Science, or a related field.
• Proven experience as a Software Architect or a similar role in B2B SaaS of fashion or retail domain.

EXPERIENCES:

• Work experience in an international and culturally diversified environment.
• Experience being an advocate in mentoring or coaching other team members.

1. CV screening and works review
2. Culture fit interview
3. Assignment project (optional)
4. Professional interview
5. Trial days