Senior Data Engineer - India - (Profisee)

Senior
CompanyQuantiphi Analytics Solutions Private
LocationIN KA Bengaluru, IN KL Trivandrum, IN MH Mumbai Eureka
CategoryData & AI
SenioritySenior
Workplace-
Posted2026-09-04
Viaworkday

Description

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

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Role: Senior Data Engineer (Informatica or Reltio)

Experience Level: 3 to 5 Years

Work location: Mumbai, Bangalore & Trivandrum

Role & Responsibilities

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Design and develop enterprise Master Data Management (MDM) solutions using Profisee , with experience in Informatica MDM or Reltio as an   alternative.

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Develop scalable data ingestion, integration, transformation, and publishing pipelines for master data.

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Implement data cleansing, standardization, validation, matching, deduplication, and survivorship rules to create trusted Golden Records.

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Design and implement Golden Record/Golden Entity, hierarchy, and relationship management solutions.

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Integrate MDM platforms with databases, APIs, data lakes, data warehouses, and downstream applications .

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Develop and maintain ETL/ELT pipelines using technologies such as Azure Data Factory, Databricks/Spark, or equivalent tools.

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Implement incremental/CDC processing, error handling, reconciliation, and data quality checks .

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Analyze and troubleshoot complex data integration, MDM, and data quality issues in production environments.

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Collaborate with Data Architects, Data Governance teams, Business stakeholders, and application teams to understand requirements and design effective MDM solutions.

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Define and maintain data mappings, transformation rules, business rules, data models, and technical documentation .

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Ensure solutions follow enterprise standards for data quality, security, governance, metadata, and lineage .

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Participate in solution design, code reviews, testing, deployment, and production support .

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Provide technical guidance and mentor junior data engineers
and contribute to continuous improvement of MDM and data engineering practices.

Skills expectation

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3+ years of hands-on Data Engineering experience with strong experience in enterprise data integration and Master Data Management.

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Hands-on experience with Profisee MDM is highly preferred.

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Strong understanding of MDM concepts including:

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Golden Record / Golden Entity

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Matching & Deduplication

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Survivorship

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Data Quality & Standardization

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Hierarchy Management

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Reference Data

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Entity Resolution

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Data Governance

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Strong SQL skills and experience with relational databases.

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Strong programming skills in Python and/or PySpark .

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Experience designing and developing ETL/ELT and data integration pipelines .

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Experience with Azure Data Factory, Databricks/Spark, or equivalent data integration technologies .

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Experience integrating MDM platforms with APIs, databases, data lakes, data warehouses, and downstream applications .

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Understanding of data modeling, metadata, lineage, data quality, and governance .

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Experience with incremental loads, CDC, data reconciliation, error handling, and production support .

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Good understanding of Agile development methodologies .

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us !