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Metro mid-level data engineer role with common skills and mid experience attracts high competition.
Requires Reltio MDM and life-sciences domain expertise, limiting cross-industry transferability.
Explicit 5+ years requirement plus mandatory Reltio and specific tech stack tighten candidate filtering.
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Own design, development, and maintenance of data pipelines to ingest data into and extract mastered data from Reltio MDM system (~75% of role).
Configure and update Reltio entities, attributes, match/merge rules, survivorship, and relationships (~25% of role).
Collaborate with cross-functional teams to ensure reliable data integration, validation, and operational support for MDM environment.
Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
Minimum 5 years experience in data engineering, data integration, ETL/ELT, or data pipeline development.
At least 2 years hands-on experience with Reltio MDM configuration and integration.
Strong skills in SQL, Python, Snowflake, and ETL/ELT tools (e.g., dbt, Informatica, Airflow).
Proven expertise in building scalable data pipelines involving Reltio MDM and cloud data platforms like Snowflake.
Experienced in handling complex MDM concepts including entity resolution, match/merge logic, survivorship, and data quality.
Familiar with Agile/Scrum delivery, MDM production support, and collaboration with multi-disciplinary teams for data-driven life sciences or healthcare contexts.