Skip to content
← Back to job listings

Senior Data Engineer - India - (Profisee)

Quantiphi Analytics Solutions Private Limited · IN KA Bengaluru, India

Data Science / AI / Machine LearningExternal listingfull-timeabout 1 hour ago

About The Role

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!

Role: Senior Data Engineer (Informatica or Reltio)

Experience Level: 3 to 5 Years

Work location: Mumbai, Bangalore & Trivandrum

Role & Responsibilities

  • Design and develop enterprise Master Data Management (MDM) solutions using Profisee , with experience in Informatica MDM or Reltio as an alternative.
  • Develop scalable data ingestion, integration, transformation, and publishing pipelines for master data.
  • Implement data cleansing, standardization, validation, matching, deduplication, and survivorship rules to create trusted Golden Records.
  • Design and implement Golden Record/Golden Entity, hierarchy, and relationship management solutions.
  • Integrate MDM platforms with databases, APIs, data lakes, data warehouses, and downstream applications .
  • Develop and maintain ETL/ELT pipelines using technologies such as Azure Data Factory, Databricks/Spark, or equivalent tools.
  • Implement incremental/CDC processing, error handling, reconciliation, and data quality checks .
  • Analyze and troubleshoot complex data integration, MDM, and data quality issues in production environments.
  • Collaborate with Data Architects, Data Governance teams, Business stakeholders, and application teams to understand requirements and design effective MDM solutions.
  • Define and maintain data mappings, transformation rules, business rules, data models, and technical documentation .
  • Ensure solutions follow enterprise standards for data quality, security, governance, metadata, and lineage .
  • Participate in solution design, code reviews, testing, deployment, and production support .
  • Provide technical guidance and mentor junior data engineers

and contribute to continuous improvement of MDM and data engineering practices.

Skills expectation

  • 3+ years of hands-on Data Engineering experience with strong experience in enterprise data integration and Master Data Management.
  • Hands-on experience with Profisee MDM is highly preferred.
  • Strong understanding of MDM concepts including:
  • Golden Record / Golden Entity
  • Matching & Deduplication
  • Survivorship
  • Data Quality & Standardization
  • Hierarchy Management
  • Reference Data
  • Entity Resolution
  • Data Governance
  • Strong SQL skills and experience with relational databases.
  • Strong programming skills in Python and/or PySpark .
  • Experience designing and developing ETL/ELT and data integration pipelines .
  • Experience with Azure Data Factory, Databricks/Spark, or equivalent data integration technologies .
  • Experience integrating MDM platforms with APIs, databases, data lakes, data warehouses, and downstream applications .
  • Understanding of data modeling, metadata, lineage, data quality, and governance .
  • Experience with incremental loads, CDC, data reconciliation, error handling, and production support .
  • 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 !

This is an external listing. JobSpring does not represent or verify the employer. Report this listing