Description

You will develop and manage big data processing solutions using PySpark. This role is hybrid.

Responsibilities

• Implement ETL pipelines and data transformation processes using distributed computing systems.
• Ensure data quality and integrity across all data processing workflows.
• Troubleshoot and resolve issues within PySpark applications and workflows.
• Integrate PySpark code with frameworks like Ingestion Framework and DataLens.
• Document code lineage and ensure compliance with data security standards.

Required Skills

• 4+ years of experience in big data development using Hadoop, Hive, and Spark Framework.
• Strong programming proficiency in Python and PySpark.
• Expertise in SQL for data manipulation and querying.
• Experience with Kafka for data streaming.
• Familiarity with CI/CD Pipelines and DevOps practices.
• Understanding of data warehousing concepts and relational databases.

Preferred Skills

• Experience with SAS.
• Certification in big data or cloud technologies.

Key Skills

Education

Any Graduate