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IntegriChain

Life sciences data analytics for access

Data Integration Engineer - Reltio MDM Configurator

Data EngineeringConfirmed live in the last 24 hours
Full-timePune, Maharashtra, IndiaNo salary listed

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Systems, Engineering, or a related field is required.
  • At least 5 years of experience in data engineering, data integration, ETL/ELT, or data pipeline development is required.
  • At least 2 years of hands-on experience with Reltio MDM configuration and/or Reltio integration is required.
  • Strong experience building pipelines to load data into and extract data from Reltio is required.
  • Strong SQL skills and experience working with relational databases and cloud data platforms are required.
  • Hands-on Python experience for data processing, automation, API interaction, and operational scripting is required.
  • Experience with Snowflake, including data loading, transformation, validation, and downstream publishing patterns, is required.
  • Experience with ETL/ELT tools such as dbt, Informatica, SSIS, Airflow, Matillion, Fivetran, or similar tools is required.
  • A strong understanding of MDM concepts, including entity resolution, crosswalks, golden records, survivorship, match/merge, hierarchies, and data quality, is required.
  • The ability to troubleshoot complex integration, data quality, and synchronization issues across multiple systems is required.
  • Experience working in Agile/Scrum delivery models and participating in design, testing, release, and production support activities is required.

Responsibilities

  • Design, build, and maintain data pipelines to onboard source data into Reltio MDM.
  • Develop repeatable ingestion patterns for batch and API-based loads into Reltio.
  • Extract mastered, matched, merged, and survivorship-applied data from Reltio for downstream consumption.
  • Build and support pipelines between Reltio, Snowflake, and other enterprise data platforms.
  • Use Python, SQL, Snowflake, and ETL/ELT tools to transform, validate, reconcile, and publish data.
  • Support source-to-target mapping, data profiling, cleansing, standardization, and validation activities.
  • Develop reconciliation checks for inbound loads, outbound extracts, rejects, errors, match results, and delta processing.
  • Troubleshoot data integration failures, API errors, job failures, data synchronization issues, and downstream data defects.
  • Collaborate with Data Engineering, MDM, QA, Product, and business teams to convert requirements into reliable data pipelines.
  • Document integration patterns, source mappings, pipeline logic, operational procedures, and support runbooks.
  • Configure and maintain Reltio entities, attributes, reference attributes, relationships, crosswalks, and lookup/reference data.
  • Support match rules, merge behavior, survivorship rules, validation rules, and data model configuration changes.
  • Implement and support Reltio APIs, webhooks, event framework patterns, and integration touchpoints.
  • Assist with Reltio tenant configuration, promotion support, testing, and production release activities.
  • Analyze and resolve data quality, matching, survivorship, hierarchy, and relationship issues within Reltio.
  • Support data onboarding, migration, regression testing, reconciliation, and production support for Reltio implementations.
  • Maintain configuration documentation and partner with MDM architects/leads on design decisions.

Desired Qualifications

  • Experience with life sciences, healthcare, HCP/HCO, customer, product, provider, or reference data domains.
  • Experience with Reltio APIs, REST services, JSON, event-driven integration, webhooks, and delta extraction patterns.
  • Experience with Snowflake, dbt, Git, CI/CD, and environment promotion/release management.
  • Exposure to data governance, data catalog, lineage, metadata management, and enterprise data quality frameworks.
  • Experience supporting production MDM operations, issue triage, monitoring, and managed services handoffs.
  • Reltio certification or prior participation in successful Reltio implementation programs.

About the Company

IntegriChain

Life sciences data analytics for access

IntegriChain provides data-driven analytics for the life sciences industry to improve patient access to therapies. It combines an subscription-based data platform with managed services to cover the full brand lifecycle, from pre-launch to post-market. Its platform collects and aggregates data and applies analytics to identify access obstacles and opportunities in areas like government pricing, rebates, and gross-to-net calculations, helping pharmaceutical manufacturers optimize distribution and pricing strategies. The company differentiates itself by offering an end-to-end solution that blends technology with hands-on managed services, serving a broad base of clients (more than 220 life sciences companies) and using private equity backing to expand capabilities. Its goal is to help clients remove access barriers and maximize patient access to therapies while improving commercial operations.

Company size
501-1,000
Company stage
Debt Financing
Total funding
$8M
Headquarters
Philadelphia, PA
Founded
2005

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