- Design and develop scalable data pipelines using PySpark.
- Build ETL and data transformation workflows.
- Process large-scale structured and unstructured datasets.
- Develop and optimize Spark jobs.
- Work with SQL and Spark SQL for data processing.
- Ensure performance, reliability, and scalability.
- Collaborate with cross-functional teams.
Preferred Candidate Profile :
- 2-5 years of Data Engineering experience.
- Robust PySpark and Apache Spark expertise.
- Good Python programming skills.
- Strong SQL knowledge.
- Experience in ETL and Big Data technologies.
- Exposure to Databricks is an added advantage.
📌 PySpark Data Engineer (female) (Hyderabad)
🏢 Infosys
📍 Hyderabad
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