We are looking for Data & Analytics Engineers / Senior Data & Analytics Engineers with robust hands-on experience in Databricks, PySpark, Delta Lake, Azure, Advanced SQL and Python.

Must-Have Skills

- Databricks
- PySpark
- Delta Lake
- Azure ADLS Gen2, ADF, Key Vault
- Advanced SQL & Python
- Lakehouse Architecture
- ETL/ELT & Dimensional Modelling
- Data Quality, Validation & CDC
- Unity Catalog / Data Governance

Key Responsibilities

- Design and develop scalable ETL/ELT data pipelines using Databricks and PySpark.
- Build and optimize Delta Lake/Lakehouse solutions.
- Perform Spark and SQL performance optimization.
- Implement data quality, CDC and governance solutions.
- Work with Azure data services including ADLS Gen2 and ADF.
- Support production issues and ensure reliable data pipelines.
- Collaborate with architects, business stakeholders and engineering teams.
- Senior candidates will also contribute to solution architecture, code reviews and technical mentoring.

Good to Have DLT, Databricks Workflows, Spark Structured Streaming, CI/CD, Git, DataOps, Power BI/Superset, PostgreSQL, FinOps and Databricks certification.

📌 Data & Analytics Engineer / Senior Data & Analytics Engineer (Bengaluru)
🏢 9NEXUS
📍 Bengaluru