Description

You will design, build, and maintain ETL processes to ensure high-quality data delivery for analytics.

Responsibilities

• Develop and optimize ETL processes using SQL and custom pipelines to extract, transform, and load data from multiple sources.
• Collaborate with stakeholders to capture requirements and create functional specifications for new data pipelines.
• Ensure data accuracy and integrity through validation processes and troubleshooting of discrepancies.
• Coordinate with Data Engineers to prioritize, develop, and test enhancements for the data pipeline and platform.
• Provide technical and functional support to business data analysts to enable effective data access.

Required Skills

• 5+ years of experience in data engineering or maintaining ETL processes in large-scale environments.
• Proficiency in SQL and advanced data warehousing techniques.
• Experience working with big data sets and Hive queries.
• Practical knowledge of AWS services including Redshift and Athena.
• Experience with MPP database optimization.
• Hands-on experience with PySpark.
• Any Graduate degree.

Preferred Skills

• Background or familiarity in handling clickstream data.

Key Skills

Education

Any Graduate