Overview
Design, build, and operate scalable, high-performance data pipelines on the Databricks Lakehouse Platform. The role involves hands-on development with Apache Spark, Databricks notebooks, Delta Lake, and cloud-native services, collaborating with analytics, AI/ML, and business teams.
What you'll do
- Design, build, and maintain end-to-end data pipelines using Databricks, PySpark, and Spark SQL.
- Implement batch and incremental data processing using Delta Lake and multi-hop architecture.
- Develop and optimize Databricks notebooks, jobs, and workflows.
- Ingest, transform, and curate large-scale structured and semi-structured datasets.
- Support analytics, reporting, and downstream data consumption use cases.
- Ensure data quality, reliability, lineage, and governance.
- Collaborate with data scientists, analysts, and architects on AI/ML workloads.
- Optimize Spark jobs for performance and cost efficiency.
- Adhere to enterprise security, access control, and compliance standards.
- Provide production support and troubleshoot data pipeline issues.
- Document technical designs, data flows, and operational runbooks.
- Mentor junior engineers and contribute to best practices.
What you'll need
- 4+ years of experience as a Data Engineer with strong Databricks expertise.
- Hands-on experience with Apache Spark, PySpark, and Spark SQL.
- Strong knowledge of Delta Lake and Lakehouse architecture.
- Advanced SQL skills.
- Experience with ETL/ELT patterns and data warehousing concepts.
- Exposure to at least one cloud platform: Azure, AWS, or GCP.
- Understanding of distributed computing concepts.
- Experience working in Agile teams.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, with 60% above.
- Required degrees/fields of study include Bachelor of Engineering and Bachelor of Technology.
Nice to have
- Experience with Unity Catalog and data governance.
- Exposure to Auto Loader or streaming frameworks.
- CI/CD for data pipelines.
- Python for data engineering and automation.
- Databricks certification at Associate or Professional level.
Details
- Location: Gurugram Downtown 4.
- Experience range stated: 4-7 years.
- Travel requirements: Not Specified.
- Work visa sponsorship is not available.
- Government clearance is not required.
Read the full description and apply on the company’s own careers page.