We are looking for a skilled Databricks Data Engineer with 2-5 years of experience in building scalable data engineering solutions and big data pipelines. The ideal candidate should have strong expertise in Databricks, PySpark, SQL, and cloud-based data platforms.

Role & Responsibilities

- Design, develop, and maintain scalable data pipelines using Databricks.
- Build ETL/ELT solutions for processing large-scale datasets.
- Develop and optimize PySpark and Spark SQL applications.
- Work with Delta Lake and modern data lake architectures.
- Integrate data from multiple sources into enterprise data platforms.
- Monitor, troubleshoot, and optimize data workflows.
- Collaborate with business and technical teams to deliver data solutions.
- Ensure data quality, governance, and performance standards.

Preferred Candidate Profile

- 2-5 years of experience in Data Engineering.
- Strong hands-on experience with Databricks.
- Expertise in PySpark and Spark SQL.
- Experience with ETL/ELT development.
- Good knowledge of SQL and Data Warehousing concepts.
- Experience with Azure Data Factory or cloud platforms.
- Solid analytical and problem-solving skills.
- Good communication and stakeholder management skills.

📌 Databricks Data Engineer (Hyderabad)
🏢 Infosys
📍 Hyderabad