- Design and develop scalable data pipelines using PySpark.
- Build ETL workflows and data transformation solutions.
- Process large-scale structured and unstructured datasets.
- Develop and optimize Spark applications for performance.
- Work with SQL and Spark SQL for data analysis and processing.
- Ensure data quality, scalability, and reliability.
- Troubleshoot and resolve data pipeline issues.
- Collaborate with business and technical teams.
Preferred Candidate Profile
- 2-5 years of experience in Data Engineering.
- Strong hands-on experience with PySpark and Apache Spark.
- Solid Python programming skills.
- Good SQL knowledge.
- Experience in ETL and Big Data technologies.
- Exposure to Databricks, Hadoop, or Hive is preferred.
- Strong analytical and problem-solving abilities.
📌 PySpark Data Engineer (Hyderabad)
🏢 Infosys
📍 Hyderabad
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