Overview
Vice President, Data Engineering to design, build, and optimize enterprise data platforms and pipelines delivering governed, high-quality data products.
What you'll do
- Design, develop, and maintain scalable, reliable, high-performance data pipelines.
- Build and optimize batch and real-time ingestion, transformation, and publishing across data sources.
- Develop reusable data engineering frameworks, components, and automation to improve efficiency.
- Ensure data products meet standards for quality, security, governance, lineage, and observability.
- Troubleshoot production issues and perform root-cause analysis with long-term fixes.
- Provide technical leadership for complex initiatives, mentor junior engineers, and drive best practices across teams.
What you'll need
- 7+ years of experience designing, building, and delivering enterprise-scale data engineering solutions with technical leadership responsibilities.
- 4+ years of strong Java, Python or Scala skills (Core Python and PySpark).
- 4+ years of experience building and optimizing big data pipelines, architectures, and data sets.
- 4+ years of hands-on Spark development in a production environment.
- 4+ years using Hive (on Spark), Yarn, and Sqoop.
- Strong implementation experience on Snowflake.
- Experience with data pipeline/workflow tools such as Airflow, DBT, or Kafka.
Details
- Location: Gurugram, India.
- Hybrid work model: at least 4 office days per week, with flexibility to work from home 1 day per week.
Read the full description and apply on the company’s own careers page.