Role & Responsibilities

- Design, develop, and maintain scalable data pipelines using Databricks.
- Build ETL/ELT solutions for processing large-scale datasets.
- Develop and optimize data transformation workflows using PySpark and Spark SQL.
- Work with Delta Lake and modern data lake architectures.
- Integrate data from multiple source systems into enterprise platforms.
- Monitor, troubleshoot, and optimize data processing jobs.
- Collaborate with business and technical stakeholders to understand requirements.
- Ensure data quality, governance, security, and performance standards.
- Support deployment and maintenance of enterprise data solutions.

Preferred Candidate Profile

- 2-5 years of experience in Data Engineering or Big Data technologies.
- Strong hands-on experience with Databricks.
- Expertise in PySpark and Spark SQL.
- Experience in ETL/ELT development.
- Valuable understanding of Data Warehousing concepts.
- Strong SQL and database skills.
- Experience with Azure Data Factory or similar cloud data integration tools.
- Exposure to Delta Lake and data lake architecture.
- Strong analytical, problem-solving, and communication skills

📌 Databricks Data Engineer (Hyderabad)
🏢 Infosys
📍 Hyderabad