Senior Data Engineer with SSIS Background

4 weeks ago


Burlington, Ontario, Canada Flexstaf IT Full time
Job Summary

We are seeking a highly skilled Senior Data Engineer with a strong background in SSIS to join our team at Flexstaf IT. As a key member of our data engineering team, you will be responsible for designing, developing, and maintaining our data warehouse and analysis solution.

Key Responsibilities
  1. Prioritize and profile non-functional projects for scalability and optimization.
  2. Collaborate with the product team to enhance solution capabilities based on customer needs.
  3. Develop and maintain SSIS packages using Visual Studio SQL Server Integration projects.
  4. Design and implement data transformation processes including cleansing, aggregation, and validation.
  5. Ensure data quality and reliability through effective error handling and logging.
  6. Work cross-functionally to deliver customer-centric outcomes.
  7. Extract data from various sources including databases, flat files, APIs, and web services.
  8. Conduct data mapping and define conversion rules for system compatibility.
  9. Drive architectural and design improvements for enhanced customer experience.
  10. Break down projects into stories and deliver code that adheres to requirements and quality standards.
  11. Uphold product quality through best practices and technical excellence.
  12. Address and resolve production incidents as necessary.
  13. Create and maintain essential technical documentation.
Requirements
  • Proven experience in a similar role as a Software or Database Developer.
  • 5 years experience and proven skills in Microsoft SSIS and SQL Server T-SQL including DDL, DQL, DML, DCL, TCL.
  • Competence in.Net Framework and C# for SSIS Script Tasks.
  • Bitbucket, Jira, Jenkins, RabbitMQ, Git.
  • Experience in test-driven development environments.
  • Working knowledge of Agile and Kanban methodologies preferred.
  • Familiarity with Azure Data Factory and other Azure features is advantageous.
  • Problemsolving ability and agility in decision-making.
  • Strong communication skills and attention to detail.
Remote Work

No



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