Description

Key Responsibilities
Design, develop, and implement new ETL (Extract, Transform, Load) jobs using Python and/or Spark to support various data initiatives.
Migrate existing ETL processes from SSIS and SQL Server to modern data platforms, ensuring data integrity and performance.
Maintain and optimize existing data pipelines and ETL processes for efficiency, reliability, and scalability.
Develop and implement robust testing strategies for all ETL jobs to ensure data quality and accuracy.
Collaborate with data architects, data scientists, and business analysts to understand data requirements and translate them into technical specifications.
Participate actively in an agile development environment, including stand-ups, sprint planning, and retrospectives.
Communicate effectively with users, stakeholders, and team members to gather requirements, provide updates, and resolve issues.
Troubleshoot and resolve data-related issues and performance bottlenecks in a timely manner.
Strong proficiency in Python and/or Apache Spark for data processing and ETL development.
Strong SQL knowledge, with proven experience in writing complex queries, stored procedures, and optimizing database performance

Key Skills

Education

Any Gradute