Role & Responsibilities

- Design, develop, and maintain data pipelines using Databricks.
- Build ETL/ELT solutions for processing large datasets.
- Develop scalable data transformation workflows using PySpark and Spark SQL.
- Work with Delta Lake and cloud-based data platforms.
- Integrate data from multiple source systems.
- Optimize data processing performance and reliability.
- Collaborate with cross-functional teams to deliver business requirements.

Preferred Candidate Profile

- 2-5 years of experience in Data Engineering.
- Hands-on experience with Databricks and PySpark.
- Strong SQL and Spark SQL knowledge.
- Experience in ETL development and data integration.
- Exposure to Azure Data Factory and cloud environments.




- Solid analytical and problem-solving skills.

Role: Data Engineer, Industry Type: IT Services & Consulting, Department: Engineering - Software & QA, Employment Type: Full Time, Permanent Role Category: Software Development Education UG: B.C.A. in Any Specialization, B.Sc in Any Specialization, B.Tech / B.E. in Any Specialization PG: MS/M.Sc(Science) in Any Specialization, M.Tech in Any Specialization, MCA in Any Specialization Key Skills Skills highlighted with ‘‘ are preferred keyskills Data BricksData LakeSparkAzure Data FactorySQL

📌 Databricks Data Engineer (Hyderabad)
🏢 Infosys
📍 Hyderabad