Senior Data Engineer (Informatica or Reltio)

Quantiphi; Bengaluru; On-site; INR 1,400,000 - 2,400,000; Full time

Benefits offered by this job

Job summary

Quantiphi is seeking a Senior Data Engineer (Informatica or Reltio) to design and implement enterprise MDM solutions. The role requires 3–5 years of experience and will work across Mumbai, Bangalore, and Trivandrum to build scalable data pipelines and ensure data quality.

You will mentor junior engineers, contribute to solution design, and collaborate with governance teams to deliver trusted master data across systems.

Qualifications

• 3+ years of hands-on Data Engineering experience with enterprise data integration and MDM.
• Hands-on experience with Profisee MDM is highly preferred.
• Strong understanding of MDM concepts: Golden Record, matching, survivorship, hierarchy, and governance.

Responsibilities

• Design and develop MDM solutions using Profisee, with Informatica MDM or Reltio as alternatives.
• 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 Azure Data Factory, Databricks/Spark, or equivalents.
• Implement incremental/CDC processing, error handling, reconciliation, and data quality checks.

Skills

Data Engineering

Profisee MDM

Reltio

Python

PySpark

SQL

Azure Data Factory

Databricks/Spark

ETL/ELT

CDC

Tools

Azure Data Factory

Databricks/Spark

Job description

Job Description 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 .

Good to Have

• Experience working with Healthcare or Insurance master data , such as Patient, Provider, Organization, Customer, Member, or Policy.
• Experience with Azure , particularly ADLS Gen2, Synapse, Azure SQL, and ADF.
• Experience with FHIR, HL7, or healthcare data standards .
• Experience with Databricks, Snowflake, Kafka, or modern cloud data platforms .
• Experience with data stewardship, governance, lineage, and data cataloging .
• Experience in requirement gathering, solution design, technical documentation, and end‑to‑end project ownership.
• Team mentoring and technical leadership experience.

Behavioral Skills

• Communication: Excellent communication skills, capable of clearly articulating complex technical concepts and plans (including MDM strategies) to diverse audiences, including stakeholders, technical teams, and non‑technical individuals.
• Mentorship: Strong ability to mentor and guide junior team members, providing clear direction and a roadmap for their development in data engineering and MDM.
• Collaboration: Proven ability to interact effectively with all team members (Juniors, Seniors, ATAs, TAs, BAs, etc.) to translate designs from concept to development, ensuring MDM principles are embedded.
• Documentation: Skilled in writing clear and concise reports, accessible to various audiences, including those without a deep technical background, especially for MDM solution designs and data governance policies.

What's in it for you

• MDM Specialization: Become a subject matter expert in Master Data Management, gaining invaluable experience with a leading MDM platform (Profisee) and its application in complex healthcare environments.
• Cloud Native Expertise: Gain invaluable hands‑on experience with cloud-native services and learn how to leverage them to solve diverse business challenges, specifically in support of MDM initiatives.
• Skill Enhancement: Opportunities for hands‑on learning and advancement in Python, SQL, and other critical technologies, with a focus on data quality and MDM integration.
• Sponsored Certifications: Access to sponsored certification opportunities for a wide range of courses (e.g., GCP, AWS, Azure, Tableau, Looker, MDM-related certifications ).
• Ownership & Impact: Beyond task completion, you will be empowered to own your work and take full responsibility for its end‑to‑end delivery, making a tangible impact on healthcare innovation by ensuring trusted, high‑quality master data.