Data Engineer

Amgen Open

Hyderabad Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Amgen. Hyderabad · full-time.

Pay not stated Data Engineer salary

RoleData Engineering

SeniorityMid-level

LocationHyderabad

EmploymentFull-time

PostedAug 28, 2026

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Build Reltio data models for entities, relationships and hierarchies, then configure match, merge and survivorship rules
Create Lifecycle Actions and Python services to handle event-driven workflows and extend Reltio integrations
Connect Reltio with REST APIs, messaging and files for both real-time and batch data flows
Use RIH and Databricks with Python frameworks to ingest and publish data, coordinating with downstream systems on issues
Maintain data quality, governance, lineage and performance across MDM processes and stewardship workflows

What you bring

You have five to nine years in Master Data Management and hands-on experience developing on Reltio
You can build Lifecycle Actions and event handling, and write Python for custom logic, APIs and integrations
You bring strong SQL and PySpark skills, plus hands-on use of Databricks, Airflow and GitLab
You have Pharma or Life Sciences experience, including HCP/HCO mastering, affiliations or product master work

Who this fits

This mid-level role suits someone who has delivered Reltio MDM implementations and can work across technical and business teams. You’ll coordinate with data engineering, analytics and downstream system teams, with Pharma or Life Sciences domain experience central to the work.

From the employer

Career Category

Engineering

Job Description

We are seeking a skilled Reltio MDM Developer with 5-9 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 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

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