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Virtusa - Data Analyst - SQL / Python / ETL

Virtusa - Data Analyst - SQL / Python / ETL

hirist.techHyderabad
1 day ago
Job description

Note : If shortlisted, you will be invited for initial rounds on 8th November'25 (Saturday) in :

Mandatory skills : Data Analyst (ETL, SQL, Python with MDM)

Job Description : Role Summary :

We are seeking skilled Data Analysts to support Informatica MDM production operations, including data ingestion from Databricks, stewardship console support, and downstream data consumption. The role involves monitoring, troubleshooting, and collaborating with business and engineering teams to ensure data quality and operational Responsibilities :

1. Data Ingestion Support (Databricks Informatica MDM) :

  • Monitor Databricks pipeline completion and validate output readiness.
  • Ensure successful ingestion via Secure Agent; troubleshoot failures.
  • Reprocess failed loads and resolve schema mismatches.
  • Collaborate with engineering teams for RCA and pipeline optimization.

2. Data Stewardship Support :

  • Assist business users in resolving Match & Merge Review conflicts.
  • Support Survivorship Overrides and stewardship queue management.
  • Investigate golden record update failures and incorrect match groups.
  • 3. Data Consumption Support :

  • Monitor REST API availability, Search 360 UI responsiveness, and batch publish jobs.
  • Troubleshoot API failures, UI slowness, and incomplete data exports.
  • Work with downstream teams to resolve delivery and configuration Skills :
  • Strong understanding of Informatica MDM and Secure Agent.
  • Experience with Databricks pipelines and data ingestion workflows.
  • Familiarity with REST APIs, data stewardship, and batch publishing.
  • Analytical mindset with strong problem-solving and debugging skills.
  • Excellent communication and collaboration Qualifications :
  • Prior experience in L1 / L2 / L3 production support environments.
  • Exposure to master data migration or conversion projects.
  • Knowledge of data governance and data quality frameworks.
  • (ref : hirist.tech)

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