Data Engineer/Developer with Python and SQL

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.