Highly Skilled ETL Developer Wanted

1 day ago

Bharatpur, Rajasthan, India beBeeEtl Full time ₹ 15,00,000 - ₹ 20,00,000

Job Title: ETL Developer

Senior ETL Developers are in high demand due to the ever-growing amount of data being generated by businesses. As a result, companies are looking for skilled professionals who can design and develop efficient scalable SSIS packages to extract transform and load data between systems.

Key Responsibilities:
  1. ETL Design and Development:
  • Translate business requirements into technical ETL solutions using data flow and control flow logic.
  • Develop reusable ETL components that support modular configuration-driven architecture.
Data Integration and Transformation:
  • Integrate data from multiple heterogeneous sources including SQL Server flat files APIs Excel etc.
  • Implement business rules and data transformations such as cleansing standardization enrichment and deduplication.
SQL and Database Development:
  • Write complex T-SQL queries stored procedures and functions to support data transformations and staging logic.
  • Perform joins unions aggregations filtering and windowing operations effectively for data preparation.
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 and transformation.
Error Handling and Logging:
  • Develop error-handling mechanisms and event logging in SSIS using Event Handlers and custom logging frameworks.
Testing and Quality Assurance:
  • Conduct unit and integration testing of ETL pipelines.
  • Validate data outputs against source and business rules.
Deployment and Scheduling:
  • Package deploy and version SSIS solutions across development test and production environments.
  • Schedule ETL jobs using SQL Server Agent or enterprise job schedulers e.g. Control-M Tidal.
Documentation and Maintenance:
  • Maintain documentation for ETL designs data flow diagrams transformation logic and job schedules.
Collaboration and Communication:
  • Collaborate with data architects business analysts and reporting teams to understand data needs.
Compliance and Best Practices:
  • Ensure ETL processes comply with data governance security and privacy regulations HIPAA GDPR etc.

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