Description

Design, build, and maintain scalable ETL pipelines and data warehousing solutions. You will optimize SQL queries, troubleshoot production issues, and document engineering practices to ensure data reliability.

This role is on-site.

Responsibilities

• Design and deploy scalable ETL pipelines using IBM DataStage.
• Monitor, troubleshoot, and resolve issues in existing data pipelines.
• Write and optimize complex SQL queries for data transformation and processing.
• Collaborate with stakeholders to translate data requirements into technical solutions.
• Document pipeline designs and contribute to engineering best practices.

Required Skills

• 5+ years of experience in data engineering.
• Strong hands-on expertise with IBM DataStage.
• Advanced SQL skills, including query optimization and performance tuning.
• Solid understanding of data warehousing concepts.
• Experience monitoring and troubleshooting production data pipelines.

Preferred Skills

• Cloud platform experience (AWS, Azure, or GCP).
• Familiarity with orchestration tools like Apache Airflow.
• Python or scripting experience.

Key Skills

Education

Bachelor's degree