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

Key Responsibilities

- Design, develop, and maintain scalable data pipelines using PySpark.

- Process and transform large volumes of structured and unstructured data.

- Develop ETL workflows and data integration solutions.

- Optimize Spark jobs for performance and scalability.

- Collaborate with cross-functional teams to deliver data engineering solutions.

- Ensure data quality, reliability, and operational excellence.

Required Skills

- Strong hands-on experience with PySpark and Apache Spark.

- Proficiency in Python programming.

- Solid knowledge of SQL.

- Experience in Data Engineering and ETL development.

- Understanding of big data concepts and distributed data processing.

Good to Have

- Hadoop

- Hive

- Databricks

- AWS/Azure

- Data Warehousing

📌 PySpark Data Engineer (Bengaluru)
🏢 Infosys
📍 Bengaluru