PySpark Data Engineer (female)

Role & Responsibilities:

• 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.
• Strong 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.