ETL Developer with Data Integration Expertise

4 days ago

Ghaziabad, Uttar Pradesh, India beBeeData Full time ₹ 15,00,000 - ₹ 25,00,000
ETL Developer Position

Seeking skilled ETL Developers to join a dynamic team.

Key Responsibilities:
  • ETL Design and Development:
    • Design and develop efficient SSIS packages for data extraction, transformation, and loading between systems.
    • Translate business requirements into technical ETL solutions using data flow and control logic.
    • Develop modular, configuration-driven ETL components.
  • Data Integration and Transformation:
    • Integrate data from various sources: SQL Server, flat files, APIs, etc.
    • Implement business rules and data transformations such as cleansing, standardization, enrichment, and deduplication.
    • Manage incremental loads, full loads, and slowly changing dimensions (SCD).
  • SQL and Database Development:
    • Write complex T-SQL queries, stored procedures, and functions for data preparation.
    • Perform joins, unions, aggregations, filtering, and windowing operations effectively.
    • Ensure referential integrity and proper indexing for performance.
  • Performance Tuning:
    • Optimize SSIS packages by tuning buffer sizes, using parallelism, and minimizing unnecessary transformations.
    • Tune SQL queries and monitor execution plans for efficient data movement.
    • Implement efficient data loads for high-volume environments.
  • Error Handling and Logging:
    • Develop error-handling mechanisms and event logging in SSIS.
    • Implement restartability, checkpoints, and failure notifications in workflows.
  • Testing and Quality Assurance:
    • Conduct unit and integration testing of ETL pipelines.
    • Validate data outputs against source and business rules.
    • Support QA teams in user acceptance testing (UAT) and defect resolution.
  • Deployment and Scheduling:
    • Package, deploy, and version SSIS solutions across development, test, and production environments.
    • Schedule ETL jobs using SQL Server Agent or job schedulers.
    • Monitor and troubleshoot job failures and performance issues.
  • Documentation and Maintenance:
    • Maintain documentation for ETL designs, data flow diagrams, transformation logic, and job schedules.
    • Update job dependencies and maintain audit trails for data pipelines.
  • Collaboration and Communication:
    • Collaborate with data architects, business analysts, and reporting teams to understand data needs.
    • Provide technical support and feedback during requirements analysis and post-deployment support.
    • Participate in sprint planning, status reporting, and technical reviews.
  • Compliance and Best Practices:
    • Ensure ETL processes comply with data governance, security, and privacy regulations.
    • Follow team coding standards, naming conventions, and deployment protocols.

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