
Data Engineering Specialist
2 weeks ago
- The ideal candidate will have 3-5 years of experience in data engineering or backend development.
- Proficiency in SQL and Python programming languages is required.
- Familiarity with ETL frameworks such as Airbyte, Airflow, dbt, Luigi, etc. is expected.
- This role involves designing, building, and maintaining efficient data pipelines.
- Collaboration with cross-functional teams to define data requirements, models, and metrics is essential.
- Managing and optimizing data storage solutions is also a key responsibility.
- 3–5 years of experience in data engineering/backend development.
- Proficiency in SQL and Python (or equivalent programming language).
- Hands-on experience with ETL frameworks.
- Good understanding of data warehousing concepts, schema design, and optimization.
- Opportunity to own and grow the data function.
- A chance to work on impactful projects that directly influence product and business strategy.
- Collaborative culture with designers, engineers, and product thinkers.
- Flexibility, autonomy, and career growth in a fast-moving setup.
Key Responsibilities:
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