Senior Data Engineer

3 weeks ago

Chennai, India Sightspectrum Full time

Hi All,

We are hiring for Sr Data Engineer position, who can join immediately. If you are interested, drop your resume at

Primary Skills: Advanced SQL Server, ETL development using SSIS, Azure Data Factory, and Databricks, Power BI, Data warehousing, Data quality and validation, General Microsoft technology stack

Job Summary:

We are seeking a highly skilled and experienced Senior Data Engineer to join our growing data team. The ideal candidate will have strong expertise in SQL Server, ETL development, and cloud-based data integration tools like Azure Data Factory and Databricks. This role requires a proactive mindset and a willingness to work with legacy SSIS solutions while actively contributing to modern data platform strategies.

Key Responsibilities:

  • Design, develop, and maintain robust ETL workflows using SSIS, Azure Data Factory, and Databricks.
  • Write complex, optimized SQL Server queries for data transformation, analysis, and reporting.
  • Perform data modeling, integration, and warehousing in support of enterprise analytics initiatives.
  • Support and enhance existing SSIS packages; troubleshoot and resolve issues related to older ETL pipelines.
  • Develop and publish dashboards and reports using Power BI.
  • Implement data quality checks and validation routines to ensure the accuracy and consistency of data.
  • Collaborate with cross-functional teams including BI developers, analysts, and business stakeholders.
  • Contribute to the architecture, design, and implementation of scalable and secure data pipelines.
  • Document technical designs, solutions, and processes as per organizational standards.

Required Skills:

  • 7 to12 years of hands-on experience with Microsoft SQL Server and writing complex T-SQL queries.
  • Strong ETL development experience using SSIS and Azure Data Factory.
  • Experience with Azure Databricks for big data processing and integration.
  • Willingness and capability to work with and improve legacy SSIS-based solutions.
  • Strong understanding of Data Warehousing concepts, star/snowflake schema, and dimensional modeling.
  • Proficiency in Power BI for data visualization and reporting.
  • Strong background in data quality, cleansing, validation, and auditing.
  • Experience with the Microsoft technology stack (Azure, SQL Server, SSRS, SSAS, etc.).

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