Time since we first saw it
Day 15
Similar jobs usually come down between day 6 and day 59.
At Brillio-2, jobs usually come down by about day 25.
From 898 similar postings that came down, and 58 of Brillio-2’s. Coming down is not always a hire.
Senior Data Engineer
Reads like a Data Governance role: data quality and governance.
Bangalore, Karnataka, India
Live, first seen by us 15 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 22, 202615 days ago
- Recorded sightings
- 23
- Last seen by us
- Nov 6, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Brillio-2 is hiring
46 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- SQL
- Azure
Where the posting names them
Job requirements - Experience Range: with at least 2–4 years of experience in data engineering, including hands-on expertise in enterprise master data management (MDM) implementations and Azure data solutions Key Responsibilities: 1. Design, configure, and enhance enterprise master data management solutions using Profisee and Azure data services to ensure consistent, reliable, and governed business data 2. Develop and maintain integrations between Profisee MDM, Microsoft Fabric, Azure platforms, and source systems, achieving seamless data flow and timely synchronization 3. Configure and optimize match-and-merge logic, survivorship rules, golden record management, and stewardship workflows for critical business domains, improving data accuracy and completeness 4. Implement and monitor data quality controls, validation logic, standardization, duplicate detection, and exception handling to increase data reliability and reduce errors 5. Troubleshoot and resolve integration failures, data quality exceptions, incorrect matches, and master data processing issues across Azure and MDM platforms, ensuring minimal downtime 6. Collaborate with Business Analysts and data owners to translate business policies into technical configurations and master data models, driving adoption of MDM standards 7. Lead migration activities, data onboarding, initial loads, incremental updates, and ongoing synchronization between systems, delivering projects on schedule 8. Maintain comprehensive technical design documents, configuration specifications, integration mappings, and operational runbooks to support auditability and governance Required Skills: 1. Profisee MDM implementation and configuration 2. Azure DevOps pipeline development and management 3. SQL for data profiling and source-to-target mappings 4. Master data modeling, matching, merging, and survivorship logic 5. Integration of MDM platforms with enterprise applications using APIs and connectors 6. Data quality rule configuration and exception handling Preferred Skills: 1. Experience with Microsoft Fabric data services 2. Advanced troubleshooting of Azure-based integrations 3. Expertise in data governance and stewardship workflows 4. Familiarity with metadata and reference data management 5. Knowledge of testing, release management, and production deployments in Azure environments Desired Qualifications: 1. Bachelor's degree in Computer Science, Information Technology, Engineering, or a closely related discipline 2. Microsoft Certified: Azure Data Engineer Associate 3. Profisee Certified Professional or equivalent Master Data Management certification Additional Information: Fabric and MDM expertise required for this engagement Employment type
Primary Skills - AKS, Event Hub, Azure DevOps, Cosmos DB, Azure Functions Specialization
Specialization - Azure Data Engineering Advanced: Senior Data Engineer Job requirements
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Demand for Data Governance roles
New Data Governance postings at the employers we follow are up 176% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Governance, by the work the posting describes.
Data governance staff keep a company's data accurate, documented and used within the rules. They agree what key fields mean, set up quality checks, track who owns each dataset and look after master data.
Postings ask for SQL, a governance tool such as Collibra or Informatica, knowledge of privacy and data rules, and a lot of work with other teams.
A data engineer builds the systems that move data; governance staff set and check the standards that data has to meet.
Job description
Senior Data Engineer
Primary Skills
- AKS, Event Hub, Azure DevOps, Cosmos DB, Azure Functions
Specialization
- Azure Data Engineering Advanced: Senior Data Engineer
Job requirements
- Experience Range: with at least 2–4 years of experience in data engineering, including hands-on expertise in enterprise master data management (MDM) implementations and Azure data solutions Key Responsibilities: 1. Design, configure, and enhance enterprise master data management solutions using Profisee and Azure data services to ensure consistent, reliable, and governed business data 2. Develop and maintain integrations between Profisee MDM, Microsoft Fabric, Azure platforms, and source systems, achieving seamless data flow and timely synchronization 3. Configure and optimize match-and-merge logic, survivorship rules, golden record management, and stewardship workflows for critical business domains, improving data accuracy and completeness 4. Implement and monitor data quality controls, validation logic, standardization, duplicate detection, and exception handling to increase data reliability and reduce errors 5. Troubleshoot and resolve integration failures, data quality exceptions, incorrect matches, and master data processing issues across Azure and MDM platforms, ensuring minimal downtime 6. Collaborate with Business Analysts and data owners to translate business policies into technical configurations and master data models, driving adoption of MDM standards 7. Lead migration activities, data onboarding, initial loads, incremental updates, and ongoing synchronization between systems, delivering projects on schedule 8. Maintain comprehensive technical design documents, configuration specifications, integration mappings, and operational runbooks to support auditability and governance Required Skills: 1. Profisee MDM implementation and configuration 2. Azure DevOps pipeline development and management 3. SQL for data profiling and source-to-target mappings 4. Master data modeling, matching, merging, and survivorship logic 5. Integration of MDM platforms with enterprise applications using APIs and connectors 6. Data quality rule configuration and exception handling Preferred Skills: 1. Experience with Microsoft Fabric data services 2. Advanced troubleshooting of Azure-based integrations 3. Expertise in data governance and stewardship workflows 4. Familiarity with metadata and reference data management 5. Knowledge of testing, release management, and production deployments in Azure environments Desired Qualifications: 1. Bachelor's degree in Computer Science, Information Technology, Engineering, or a closely related discipline 2. Microsoft Certified: Azure Data Engineer Associate 3. Profisee Certified Professional or equivalent Master Data Management certification Additional Information: Fabric and MDM expertise required for this engagement
Employment type
Employee
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bangalore, Karnataka, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.