Responsibilities

• Design, implement, and maintain ETL pipelines in cloud environments (AWS, Azure, or GCP).
• Integrate data from various sources into cloud data warehouses (e.g., Redshift, BigQuery, Synapse).
• Optimize and automate ETL workflows for performance and scalability.
• Ensure data quality, accuracy, and security across systems.
• Collaborate with data engineers and analysts to support data-driven decision-making.
• Monitor and troubleshoot ETL processes to ensure smooth data operations.

Requirements

• Proven experience in ETL development and cloud-based data integration.
• Expertise in cloud platforms (AWS, Azure, or GCP) and related ETL tools (e.g., AWS Glue, Azure Data Factory).
• Strong SQL skills and experience with data warehousing technologies.
• Familiarity with data modeling, data lakes, and data governance.
• Strong problem-solving and communication skills.

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