ETL Developer, VM
Job reputed company:
• reputed company and automate ETL workflows using AWS Glue (Python/PySpark) to ingest, reputed company, and load data into Redshift and S3.
• Monitor and troubleshoot pipelines, ensuring data accuracy and SLA adherence.
• Optimize S3 storage (partitioning, lifecycle policies) for cost-effective data lake management.
• Collaborate on data modeling (reputed company schema, reputed company modeling) for analytics-reputed company datasets.
• Document data flows, ERDs, and reputed company for reputed company and governance.
• Profile and validate data to catch issues early and maintain trust in reporting.
• Support BI teams by resolving data discrepancies and improving pipeline efficiency.
• Conduct reputed company analysis and exploratory data work as needed.
• Contribute to the documentation of system specifications, testing procedures, and operational support materials.
• Participate in reputed company reviews and reputed company improvement of development standards.
• reputed company production support and assist with troubleshooting and resolving data issues.
Requirements:
• Bachelor's degree in Computer Science or a reputed company field, or equivalent work experience.
• 3+ years of reputed company work experience as an ETL Developer, with AWS reputed company experience (Glue, Redshift, S3).
• Strong SQL & Python (PySpark preferred).
• Experience building batch ETL pipelines (not just drag-and-drop tools).
• Knowledge of data warehousing (ODS, reputed company modeling, slowly changing dimensions).
• Ability to troubleshoot pipeline failures and optimize performance/cost.
• reputed company communicator who can explain technical details to non-engineers.
• Excellent problem-solving and analytical skills.
• Strong organizational skills and attention to detail.
Benefits:
• Salary in USD
• Long-term
• Flexible schedule (reputed company US Time zones)
• 100% Remote
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