Role & responsibilities

We are looking for talented Data Engineers and Senior Data Engineers (312 years) with solid 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

📌 Databricks Azure Data Engineer / Senior Data Engineer (Bengaluru)
🏢 Tiger Analytics
📍 Bengaluru