Data Integration Engineer (Reltio MDM Configurator)

We are looking for a Reltio MDM Configurator / Data Integration Engineer based in India. This role is intentionally data-integration heavy, with approximately 75% of the responsibility focused on data pipelines, source-to-Reltio ingestion, Reltio-to-downstream extraction, reconciliation, and operational data movement. The remaining 25% will focus on hands-on Reltio configuration, including entities, attributes, match/merge, survivorship, relationships, and data model updates. The ideal candidate is a strong Data Engineer / Data Pipeline expert with practical Reltio experience, strong SQL and Python skills, Snowflake knowledge, and experience with ETL/ELT tools. The candidate should be comfortable working across source systems, MDM platforms, and downstream analytical platforms in a life sciences or healthcare data ecosystem. Data Integration / Data Engineering 75% Build, support, and optimize data pipelines to load data into Reltio and extract mastered data from Reltio into downstream platforms such as Snowflake. Reltio Configuration 25% Configure and maintain Reltio entities, attributes, relationships, survivorship, match/merge logic, and operational metadata. Key Responsibilities Data Integration / Data Engineering Responsibilities (75%) 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 sync 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. Reltio Configuration Responsibilities (25%) 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…