Senior Data Engineer (Informatica or Reltio)

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.