ETL Developer

2 weeks ago

New Delhi, India Manhattan Associates Full time

Experience Range : 6 to 9 yearsMinimum Qualifications: 6+ years ofSQL Server developmentexperience ( SQL Server 2012and later) 6+ years working withETL/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 usingPower 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 prioritiesPrincipal Duties and Responsibilities: Design, develop, and maintain scalableETL pipelinesusingSSIS 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 usingPower 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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