Enterprise Data Engineer

2 weeks ago

Mysore, Karnataka, India beBeeETL Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Data Integration Specialist

We are seeking a highly skilled Data Integration Specialist to design and develop efficient scalable data pipelines using SSIS. The ideal candidate will have a strong background in ETL development and experience with data warehousing concepts.

  • Design and develop efficient scalable SSIS packages to extract transform and load data between systems.
  • Translate business requirements into technical ETL solutions using data flow and control flow logic.
  • Develop reusable ETL components that support modular configuration-driven architecture.
  • Integrate data from multiple heterogeneous sources such as SQL Server flat files APIs Excel etc.
  • Implement business rules and data transformations such as cleansing standardization enrichment and deduplication.
  • Manage incremental loads full loads and slowly changing dimensions SCD as required.
  • 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.
  • Ensure referential integrity and proper indexing for performance.
  • 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.
  • Implement efficient data loads for high-volume environments.
  • Develop error-handling mechanisms and event logging in SSIS using Event Handlers and custom logging frameworks.
  • Implement restartability checkpoints and failure notifications in workflows.
  • 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.
  • 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.
  • Monitor and troubleshoot job failures and performance issues.
  • Maintain documentation for ETL designs data flow diagrams transformation logic and job schedules.
  • Update job dependencies and maintain audit trails for data pipelines.
  • 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.
  • Ensure ETL processes comply with data governance security and privacy regulations HIPAA GDPR etc.
  • Follow team coding standards naming conventions and deployment protocols.

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