Job Description
We are looking for a Senior Data Engineer to join our team. In this role, you will design, build, and optimize scalable data pipelines on the Databricks Lakehouse Platform. You will partner with data science, analytics, and business teams to deliver reliable, high-performance data solutions in a collaborative environment.
nYour responsibilities will include building and maintaining batch or streaming ETL pipelines using PySpark, Delta Lake, and Delta Live Tables. You will manage Databricks clusters and implement Unity Catalog for governance. You will also design dimensional models, optimize Delta tables, and troubleshoot performance issues. A key part of the role involves building deployment pipelines using CI/CD tools and supporting ML productionization while mentoring fellow team members.
nRequired Skills:
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- 5+ years of experience in data engineering with significant hands-on work in Databricksn
- Solid proficiency in PySpark, Spark SQL, Delta Lake, and Delta Live Tablesn
- Advanced skills in Python and SQLn
- Experience with Unity Catalog, cluster administration, and at least one major cloud platform (Azure, AWS, or GCP)n
- Familiarity with orchestration tools such as Databricks Workflows or Airflow and Git-based CI/CDn
- Solid understanding of data warehousing and dimensional modelingn

nPreferred Skills:
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- Databricks Certified Data Engineer (Associate or Professional)n
- Cloud data engineering certificationn

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📌 Senior Data Engineer (Pune)
🏢 R Systems
📍 Pune