Overview
Skills
Job Details
We are seeking a skilled Data Migration and Data Feeds Specialist with strong experience in handling large datasets, building data pipelines, and ensuring seamless data integration across systems. The ideal candidate will have hands-on experience with ETL processes, API-based data feeds, file-based integrations, and data quality frameworks. Prior experience in healthcare data (EHR/EMR, claims, clinical, HL7/FHIR) is highly preferred.
Key Responsibilities-
Lead and execute end-to-end data migration activities including data extraction, transformation, validation, cleansing, and loading into target systems.
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Analyze legacy data structures and map to new system schemas to ensure accurate and complete data transfer.
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Develop, maintain, and troubleshoot automated and real-time data feeds (API, SFTP, flat files, JSON, XML, HL7, FHIR, etc.).
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Build and optimize ETL/ELT pipelines using industry-standard tools and cloud platforms.
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Perform detailed data validation, reconciliation, and quality checks before and after migration.
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Work with business and technical teams to understand data requirements, transformation logic, and integration needs.
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Monitor daily/weekly data loads and proactively resolve feed failures or data discrepancies.
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Document data mappings, migration rules, feed specifications, and error-handling procedures.
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Collaborate with QA teams for test planning, test data preparation, and UAT support.
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Support production go-live, data cutover planning, and post-migration audits.
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5 10+ years of hands-on experience in data migration, data integration, and data feed development.
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Strong expertise in SQL (advanced queries, joins, stored procedures), data modeling, and relational databases.
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Experience with ETL tools and technologies such as Informatica, Talend, SSIS, Snowflake, Databricks, Airflow, AWS Glue, Azure Data Factory, etc.
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Experience working with API-based integrations (REST, SOAP) and file-based data feeds (CSV, XML, JSON).
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Strong understanding of data quality, data cleansing, and reconciliation techniques.
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Ability to understand and map complex datasets across multiple systems.
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Excellent analytical skills and attention to detail.
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Strong documentation and communication skill