Data & Analytics Engineer / Senior Data & Analytics Engineer

We are looking for Data & Analytics Engineers / Senior Data & Analytics Engineers with strong 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.