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 .

Positive 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.

📌 Senior Data Engineer (Informatica or Reltio) (Mumbai)
🏢 Quantiphi
📍 Mumbai