Job Description

Develop and maintain scalable data pipelines using Microsoft Fabric components.




Work with OneLake, Dataflows Gen2, and Lakehouse architectures.




Implement ETL/ELT processes for data ingestion, transformation, and loading.




Ensure data quality, integrity, and security across platforms.




Collaborate with cross-functional teams to gather requirements and deliver solutions.




Optimize performance of data workflows and troubleshoot issues.




Integrate data from diverse sources including cloud and on-prem systems.




Required Skills & Experience




Strong hands-on expertise with Microsoft Fabric tools and architecture.




Proficiency in SQL, Python, and Power BI.




Experience with Azure Data Services (e.g., Data Factory, Synapse Analytics).




Solid understanding of data modeling, data governance, and analytics.




Familiarity with CI/CD pipelines and DevOps practices.




Knowledge of Spark SQL, PySpark, and hybrid cloud deployments is a plus.

About Virtusa




Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth -- one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.


Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.


Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

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Job Detail

  • Job Id
    JD4800205
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    AP, IN, India
  • Education
    Not mentioned
  • Experience
    Year