- esign, develop, and maintain ETL/ELT workflows and data pipelines.
- Extract data from databases, APIs, flat files, and other data sources.
- Perform data transformation, cleansing, validation, and integration.
- Develop and optimize SQL queries, stored procedures, and database objects.
- Work with data warehouses and ensure data is accurate, consistent, and reliable.
- Monitor ETL jobs, troubleshoot failures, and resolve data-related issues.
- Perform data quality checks and investigate data discrepancies.
- Optimize ETL processes for performance and scalability.
- Collaborate with business analysts, data engineers, and other stakeholders to understand data requirements.
- Prepare technical documentation for ETL processes, mappings, workflows, and data models.
- Participate in deployment, testing, and production support activities.
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