ETL Developer

3 weeks ago

Bengaluru Karnataka India, Karnataka Manhattan Associates Full time

Experience Range : 6 to 9 years


Minimum Qualifications:

  • 6+ years of SQL Server development experience (SQL Server 2012 and later)
  • 6+ years working with ETL/ELT tools such as SSIS, Informatica
  • 6+ years optimizing SQL queries and SSIS packages for performance
  • 6+ years working with data warehousing concepts and dimensional modeling (e.g., Star Schema)
  • 6+ years in data modeling and database design
  • 3+ years developing SSAS Tabular and/or Multidimensional models, with MDX
  • 3+ years experience building dashboards using Power BI and DAX (or equivalent)
  • 4+ years working with XML, JSON, PowerShell, and REST APIs
  • 4+ years of Azure data platform implementation experience
  • Strong T-SQL skills for data manipulation and stored procedure development
  • Experience with both on-premises and cloud BI environments (e.g., Azure SQL DB, Azure Data Factory, Power BI Service)
  • Good understanding of data quality, validation techniques, and governance practices
  • 3+ years using Agile tools like Jira, Bitbucket, Confluence
  • 3+ years working with ticketing tools like ServiceNow, JIRA, or Quality Center
  • Experience with SharePoint for document collaboration
  • High proficiency with Microsoft Office tools
  • Strong communication skills across technical and business teams
  • Ability to work independently and collaboratively in distributed teams
  • Flexible and adaptable to evolving project deliverables and business priorities


Principal Duties and Responsibilities:

  • Design, develop, and maintain scalable ETL pipelines using SSIS and/or Azure Data Factory
  • Develop complex SQL queries, stored procedures, views, and user-defined functions
  • Build and maintain SSAS models (Tabular/Multidimensional) for analytical consumption
  • Create interactive dashboards and reports using Power BI
  • Collaborate with business analysts and data stakeholders to gather and translate requirements into data solutions
  • Participate in all phases of the BI solution lifecycle, from design and development to testing and deployment
  • Monitor and troubleshoot BI and ETL processes; identify performance bottlenecks and implement solutions
  • Follow best practices in development, code reviews, testing, and documentation
  • Stay current with new tools and technologies in the data ecosystem
  • Adhere to enterprise data governance, privacy, and security standards

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