Senior Data Engineer - India - (Profisee)
Quantiphi Analytics Solutions Private Limited · IN KA Bengaluru, India
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 !
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