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!
Skills Required
- 3+ years of hands-on data engineering experience
- Strong enterprise data integration and Master Data Management experience
- Hands-on experience with Profisee MDM
- Understanding of Golden Records or Golden Entities
- Experience with matching and deduplication
- Understanding of survivorship
- Experience with data quality and standardization
- Experience with hierarchy management
- Understanding of reference data
- Understanding of entity resolution
- Understanding of data governance
- Strong SQL skills and relational database experience
- 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 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
Quantiphi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Quantiphi and has not been reviewed or approved by Quantiphi.
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Wellbeing & Lifestyle Benefits — Wellbeing initiatives such as monthly meeting-free AMA-Zen Days, health check-ups, and wellness counseling are designed to reduce burnout and support day-to-day balance. Broader wellness programs reinforce both physical and mental health.
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Flexible Benefits — Remote/hybrid options with flexible working hours provide meaningful autonomy over where and when work gets done. Flexible leave constructs, including sabbaticals and special day leaves, add practical adaptability to the package.
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Parental & Family Support — Paid parental leave in the U.S., alongside maternity and childcare support, signals solid backing for families. These family-oriented policies integrate with a wider health and wellness focus.
Quantiphi Insights
What We Do
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.
