Data Engineer
Prodigal (company site, opens in a new tab)1+ yrsBengaluruOn-siteDirect career pageEst. 6–12 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and manage scalable data pipelines within Databricks data lake.
- Transform raw data into clean, tested assets using SQL and tools like dbt to support AI/ML initiatives.
- Collaborate with cross-functional teams to deliver actionable insights that guide products, AI models, and business decisions.
Minimum Requirements
- Minimum 1 year of professional data engineering experience.
- Experience with data scripting/querying languages such as SQL, NoSQL, Python or R.
- Hands-on with data pipeline tools like Airflow, SQL tasks, stored procedures, and AWS services including Lambda, S3, Cloudfront, SQS.
- Work location requirement: In-office at Koramangala, Bengaluru.
Ideal Candidate Profile
- Comfortable working at the intersection of data engineering and AI/ML support roles.
- Experience in building robust data workflows that optimize performance and reliability.
- Capable of balancing execution speed with quality in a fast-paced environment.