Data Engineer
Career Category
Reltio MDM Developer
years of experience
Reltio platform
Reltio configuration, Lifecycle Actions (LCA), RIH, Python-based development, and API integrations
Roles & Responsibilities
- Design and implement
Reltio MDM solutions
, including data models, entities, relationships, and hierarchies
- Configure and develop
Lifecycle Actions (LCA)
for event-driven data processing and business workflows
- Develop
Python based custom logic/services
to support Reltio integrations and extensions
- Implement and manage
match/merge rules and survivorship strategies
for golden record creation
- Build and maintain
real-time and batch integrations
REST APIs, messaging, and file-based approaches
- Work with
RIH
Databricks with Python script
frameworks for data ingestion and data publishing.
- Configure and manage
crosswalks, reference data, and group attributes
- Develop and enforce
data quality rules, validation, and enrichment processes
- Collaborate with data engineering, analytics, and business teams for seamless data consumption
- Support
data governance and stewardship workflows
, including DCR lifecycle
- Ensure
data lineage, traceability, and compliance
across MDM processes
- Troubleshoot and optimize performance of Reltio implementations
- Data published multiple downstream systems, need to coordinate with consuming systems for any issue.
Must-Have Skills
- Strong hands-on experience with
Reltio MDM platform
- Deep expertise in
Lifecycle Actions (LCA)
development and event handling in Reltio
- Strong programming skills in
Python
(for custom logic, APIs, and integrations)
- Proficiency in
SQL & PySpark
(advanced querying, data validation, performance tuning)
- Good experience in
Python
for data processing and automation
- Good experience in JASON scripting for L3 changes.
- Strong experience in
API integrations (REST/SOAP)
and microservices architecture
- Expertise in: • Match/Merge and survivorship rules
- Data modeling (entities, relationships, hierarchies)
- Crosswalks, reference data, and golden record concepts
- Experience with
batch and real-time data integration patterns
- Hands-on experience with
Unix/Linux environments
- Strong domain experience in
Pharma/Life Sciences
, including: • HCP/HCO mastering
- Affiliations
- Product Master / Material Master
- Strong hands-on experience in
Databricks, performance tuning , SQL tuning
- Strong hands-on experience in Airflow and Gitlab
Good-to-Have Skills
- Experience with
PySpark, Databricks
, Databricks workflow and large-scale data processing
- Experience with
AWS cloud services
(S3, Lambda, Glue, etc.)
- Experience with
PostgreSQL or similar databases
- Exposure to
GenAI / MCP/AI-driven data use cases
- Experience with
Reltio Integration Hub (RIH)
- Familiarity with
Agile tools
Education and Professional Certifications
- Master's / Bachelor’s degree in computer science and engineering preferred, other Engineering field is considered with 3-5 years' experience
- AWS Certified Data Engineer preferred
- Databricks Certificate preferred
- Reltio MDM Certification
- Data Engineering / SQL Certifications
Soft Skills
- Strong analytical and problem-solving skills
- Excellent communication with technical and business stakeholders
- Ability to work in global, cross-functional teams
- Strong ownership and accountability
Preferred Experience
- Experience in
end-to-end Reltio MDM implementations & Operations
- Experience in
regulated Pharma/Life Sciences environments
- Exposure to
large-scale MDM transformations
Not included in the source posting: about the role, benefits.
Skills
Who can apply
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