Role & 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.
- Build and optimize Spark jobs for performance and scalability.
- Work with SQL, Spark SQL, and big data technologies.
- Ensure data quality, reliability, and operational excellence.
- Troubleshoot data processing and pipeline issues.
- Collaborate with business and technical stakeholders to deliver solutions.

Preferred Candidate Profile

- 2-5 years of experience in Data Engineering.
- Strong hands-on experience with PySpark and Apache Spark.
- Good coding skills in Python.
- Strong SQL and database knowledge.
- Experience in ETL, data integration, and big data projects.
- Exposure to Hadoop, Hive, or Databricks is preferred.
- Understanding of Data Warehousing concepts.
- Solid analytical and problem-solving skills.
- Good communication skills.

📌 PySpark Data Engineer (Hyderabad)
🏢 Infosys
📍 Hyderabad