Lead Data Engineer
Unifocus8–10 yrsGurugramOn-siteDirect career pageEst. 20–35 LPA
Posted on 24 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead the design, development, and ownership of a greenfield data platform focused on scalable, robust data pipelines (batch and real-time).
- Integrate AI across all phases of data lifecycle and ensure data quality, integrity, and governance.
- Manage and mentor a team of data engineers and collaborate with cross-functional teams to align technical implementations with business needs.
Minimum Requirements
- 8-10 years experience in data engineering or emerging data architecture roles.
- Bachelor's degree in Computer Science, Information Systems, or related field (Master's is a plus).
- Proficiency with AWS Data Services (S3, Glue, Athena, EMR, Kinesis) and experience in modern data frameworks like Apache Flink, Kafka Streams, pySpark, Apache Airflow.
- Strong skills in SQL, data formats (Parquet, Delta Lake, Iceberg, Hudi), CDC patterns, and database systems (both relational and NoSQL).
Ideal Candidate Profile
- Experienced in building and scaling complex data pipelines and data platform architectures with a strong AI-first mindset.
- Demonstrates technical ownership and leadership ability in managing and mentoring data engineering teams.
- Familiar and comfortable working in a dynamic, fast-paced environment with cross-functional collaboration.