Senior Data Engineer

5 days ago

Chennai, Tamil Nadu, India Sightspectrum Full time ₹ 1,04,000 - ₹ 1,30,878 per year

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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