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Launch IT Consulting

Senior Data Engineer

8-13 Years
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  • Posted 23 days ago
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Job Description

  • Be a part of our success story. Launch offers talented and motivated people the opportunity to do the best work of their lives in a dynamic and growing company. Through competitive salaries, outstanding benefits, internal advancement opportunities, and recognized community involvement, you will have the chance to create a career you can be proud of. Your new trajectory starts here at Launch.
  • What we are looking for: designing and building ETL pipelines, with a focus on Azure Data Factory and Microsoft Fabric services.

Mandatory Skills:

  • 8+ years of hands-on experience designing and building ETL pipelines, with a focus on Azure Data Factory and Microsoft Fabric services.
  • Expertise in implementing CI/CD pipelines and automating deployment processes using Azure DevOps.
  • Hands-on experience migrating data from on-premises databases to Azure Cloud environments, including Managed Instances.
  • Proven track record of implementing version control systems and managing data pipeline architecture.
  • Strong SQL skills for developing and optimizing queries, stored procedures, and database performance.
  • Familiarity with Delta Lake, Synapse Analytics, or other MS Fabric-specific technologies.
  • Experience working in large, agile teams to deliver data solutions in an iterative, collaborative environment.

Preferred Skills:

  • Knowledge of Microsoft Fabric components such as Dataflows, Data Pipelines, and integration with Power BI for seamless analytics delivery.
  • Understanding of data security practices, including data encryption and role-based access control in Azure.
  • Experience with event-driven architectures using Azure Event Hubs or similar tools.
  • Familiarity with Data Ops principles to streamline pipeline monitoring and management.
  • Excellent problem-solving skills and ability to quickly adapt to evolving project requirements.

More Info

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Open to candidates from:
Indian

Job ID: 114092715

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