Data Engineer

Client of Involved Solutions

Posted on 13 Sep

Experience

3 - 5 Years

Education

Bachelor of Technology/Engineering(Computers)

Nationality

Any Nationality

Gender

Not Mentioned

Vacancy

1 Vacancy

Job Description

Roles & Responsibilities

You will design, build, and optimise data pipelines and models to support reporting, analytics, and machine learning use cases across the organisation. This role will focus on leveraging Microsoft technologies to deliver reliable, secure, and scalable data solutions for both business and technical stakeholders.

About you:

  • Hands-on expertise with Azure Data Factory, Azure Synapse Analytics, and SQL Server Integration Services (SSIS)
  • Strong proficiency in SQL (complex queries, stored procedures, performance tuning)
  • Experience building and maintaining ETL/ELT pipelines within Microsoft ecosystems
  • Skilled in Python for automation and data transformation
  • Familiarity with data modelling (Kimball, star/snowflake schema) and data warehousing best practices
  • Experience with Power BI (DAX, data visualisation, semantic models)
  • Knowledge of Azure DevOps, CI/CD pipelines, and version control (Git) is an advantage
  • Background in insurance or financial services data environments is preferred

Desired Candidate Profile

  • Hands-on expertise with Azure Data Factory, Azure Synapse Analytics, and SQL Server Integration Services (SSIS)
  • Strong proficiency in SQL (complex queries, stored procedures, performance tuning)
  • Experience building and maintaining ETL/ELT pipelines within Microsoft ecosystems
  • Skilled in Python for automation and data transformation
  • Familiarity with data modelling (Kimball, star/snowflake schema) and data warehousing best practices
  • Experience with Power BI (DAX, data visualisation, semantic models)
  • Knowledge of Azure DevOps, CI/CD pipelines, and version control (Git) is an advantage
  • Background in insurance or financial services data environments is preferred

Company Industry

Department / Functional Area

Keywords

  • Data Engineer

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