Data Engineer

Career Category

Engineering

Job Description

We are seeking a skilled

Reltio MDM Developer

with 5-8

years of experience

in Master Data Management (MDM) to design, develop, and implement scalable MDM solutions on the

Reltio platform

. The ideal candidate will have strong expertise in

Reltio configuration, Lifecycle Actions (LCA), RIH, Python-based development, and API integrations

, along with domain experience in

Pharma/Life Sciences

• 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

using

REST APIs, messaging, and file-based approaches

• Work with

RIH

(Reltio Integration Hub) and

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.

• Functional Skills: 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

(JIRA, Confluence)

Education and Professional Certifications

• Master's/Bachelor’s degree in computer science and engineering preferred, other Engineering field is considered with 5-8 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

.

• 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
• 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 (JIRA, Confluence)
• Experience in end-to-end Reltio MDM implementations & Operations
• Experience in regulated Pharma/Life Sciences environments
• Exposure to large-scale MDM transformations