Databricks Azure Data Engineer / Senior Data Engineer

Role & responsibilities

We are looking for talented Data Engineers and Senior Data Engineers (312 years) with strong hands-on experience in Databricks, PySpark, Spark SQL, and modern cloud-based data engineering. Candidates with experience on Azure, AWS, or GCP are encouraged to apply.

The ideal candidate should have experience building scalable ETL/ELT pipelines, implementing Lakehouse architectures, optimizing Spark workloads, and delivering enterprise-grade analytics solutions.

Responsibilities :

• Design and develop scalable cloud data pipelines using Databricks, PySpark, and Spark SQL.
• Build enterprise ETL/ELT frameworks on Azure, AWS, or GCP.
• Implement Delta Lake and Medallion Architecture.
• Develop batch and streaming data pipelines.
• Optimize Spark workloads for performance and scalability.
• Implement logging, monitoring, and exception handling.
• Build CI/CD pipelines using Git and DevOps tools.
• Collaborate with architects, data scientists, and business stakeholders.
• Ensure high data quality and production reliability.

Preferred candidate profile