(High Salary) Etl Developer

1 week ago

Bengaluru, India 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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