Senior Data Engineer (India)
Core
Senior technical anchor for complex, client-facing data engineering engagements, designing and building production-grade data platforms.
Role type
Senior IC data engineer (cloud & Databricks)
Builds
Scalable, reliable data pipelines and lakehouse architectures on Databricks and cloud platforms
Domain
Data engineering, cloud infrastructure, modern data stack
Required skills
Apache Spark (runtime internals, performance tuning), Python, Databricks (Delta Lake, Unity Catalog, Workflows), cloud platforms (AWS/Azure/GCP), ETL/ELT design, data modeling, CI/CD, automated testing, observability
Preferred skills
Scala, Databricks certification
Technologies
Databricks, Apache Spark, Python, Scala, AWS, Azure, GCP, Delta Lake, Unity Catalog, Redshift, Glue, S3, Synapse, Data Factory, ADLS, BigQuery, Dataflow, GCS
Responsibilities
Contribute to client data engagement architecture and build; Design and implement scalable data pipelines and lakehouse architectures; Translate client requirements into robust technical designs and data models; Support technical delivery timelines and identify blockers; Mentor junior and mid-level engineers; Champion DataOps practices including automated testing and CI/CD
Seniority
Senior, hands-on IC