PySpark Developer

Experience with big data processing and distributed computing systems like Spark.

Implement ETL pipelines and data transformation processes.

Ensure data quality and integrity in all data processing workflows.

Troubleshoot and resolve issues related to PySpark applications and workflows.

Understand source, dependencies and data flow from converted PySpark code.

Strong programming skills in Python and SQL.

Experience with big data technologies like Hadoop, Hive, and Kafka.

Understanding of data warehousing concepts and relational databases like SQL.

Demonstrate and document code lineage.

Integrate PySpark code with frameworks such as Ingestion Framework, DataLens, etc.,

Ensure compliance with data security, privacy regulations, and organizational standards.

Knowledge of CI/CD pipelines and DevOps practices.

Strong problem-solving and analytical skills.

Excellent communication and leadership abilities.

Qualifications:

6+ years of experience in big data development, Hadoop , Hive & Spark framework.

Good to have experience in SAS.

Strong Python, PySpark Development and SQL knowledge.

Certification in big data or cloud technologies is preferred.