Description

You will design, develop, and maintain ETL pipelines following enterprise data architecture standards.

Responsibilities

• Write advanced SQL queries to extract, transform, and analyze data from structured and semi-structured sources.
• Develop and maintain ETL pipelines using best practices.
• Collaborate with architects and stakeholders to define data requirements and implement solutions.
• Ensure data quality, consistency, and integrity across all systems.
• Troubleshoot and support the deployment and monitoring of data jobs in production.

Required Skills

• 14+ years of hands-on experience in data engineering.
• Strong proficiency in SQL Server 2022, including Functions, CTEs, and Views.
• Expertise in SQL, including complex joins, window functions, and performance tuning.
• Proven experience in ETL development using frameworks or custom Python/Scala.
• Working knowledge of Data Warehousing concepts and ODS.
• Proficiency with JavaScript and Windows PowerShell.
• Familiarity with REST API integration.
• Experience with Git and CI/CD practices for data jobs.
• Familiarity with AWS or Azure environments.

Key Skills

Education

Bachelor's degree