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About the Role
Responsibilities
- Design, develop, and maintain data pipelines to ingest, transform, and serve data from multiple sources.
- Support batch and near-real-time data processing, ensuring data accuracy, freshness, and reliability.
- Assist in managing and optimizing data lakes, lakehouses, and data warehouses.
- Develop and optimize SQL and Python-based transformations for reporting and analytics.
- Implement basic data quality checks, logging, and monitoring.
- Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.
- Participate in code reviews, testing, documentation, and CI/CD processes.
- Continuously learn and adopt modern data engineering and AI-enabled data practices.
- Strong working knowledge of Python and SQL for data processing.
- Experience building ETL/ELT pipelines using industr...
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