Found Description
Your key responsibilities
- Design, build, and maintain efficient, reusable, and scalable ETL/ELT pipelines for structured and unstructured data.
- Develop and optimize data workflows to support advanced analytics, machine learning models, and reporting tools.
- Collaborate with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability
- Work with cloud and on-prem data platforms (e.g., AWS, Azure, GCP, Hadoop, or on-prem SQL/NoSQL systems).
- Ensure data integrity, governance, and security best practices across pipelines and data lakes/warehouses.
- Troubleshoot and resolve data issues and performance bottlenecks in real-time and batch pipelines.
- Monitor job performance and implement automation and alerting for data operations.
- Contribute to documentation, code reviews, and development best practices.
Skills and attributes ...
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