Description

You will design, develop, and maintain ETL workflows and data pipelines.

Responsibilities

• Extract data from multiple source systems and load it into data warehouses or data lakes.
• Transform, cleanse, and validate data to ensure accuracy and consistency.
• Optimize ETL processes for performance, scalability, and reliability.
• Monitor ETL jobs, troubleshoot issues, and resolve failures promptly.
• Collaborate with stakeholders to gather requirements and document processes.

Required Skills

• 10+ years of experience in ETL development or data engineering.
• Strong hands-on experience with ETL tools like Informatica, Talend, SSIS, or IBM DataStage.
• Advanced proficiency in SQL and relational databases.
• Solid understanding of data warehousing, BI, and analytics concepts.
• Experience with Python or Java for data transformation.
• Familiarity with CI/CD pipelines and automation in data workflows.
• Experience with Google BigQuery.

Preferred Skills

• Experience with cloud data platforms such as AWS Redshift or Azure Synapse.
• Knowledge of data governance and metadata management practices.

Key Skills

Education

Bachelor's degree