Analytics Engineer

• Design and implement Python components for ETL processes
• Migrate ETL pipelines from IBM Datastage and Oracle using Python
• Extract data from various sources, transform it according to business rules, and load it into PostgreSQL databases
• Collaborate with data architects and stakeholders to understand data requirements, model data flows, and define transformation logic
• Implement SQL queries, stored procedures, and functions in PostgreSQL
• Optimize ETL processes for performance, scalability, and resource usage, including PostgreSQL query tuning
• Build and maintain data validation and quality checks, including automated tests, reconciliation scripts, and anomaly alerting
• Monitor ETL jobs and database health, diagnose failures or performance issues, and implement fixes
• Document ETL processes, data dictionaries, lineage, and operational runbooks
• Troubleshoot cross-system data issues and participate in incident response
• Provide root cause analysis and remediation plans
• Participate in code reviews, mentor junior developers, and improve team standards and best practices
• Contribute to application modernization, cloud migration, and Oracle-to-PostgreSQL migration initiatives

Explore ETL Developer, Python, PostgreSQL at DATAGROUP. Review requirements and application details.

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