Role & responsibilities

We are looking for talented Data Engineers and Senior Data Engineers (312 years) with robust hands-on experience in Databricks, PySpark, Spark SQL, and contemporary 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 Hyderabad
🏢 Tiger Analytics
📍 Hyderabad