Data Migration & Data Feeds Specialist

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.

• Lead and execute end-to-end data migration activities including data extraction, transformation, validation, cleansing, and loading into target systems.

• Analyze legacy data structures and map to new system schemas to ensure accurate and complete data transfer.

• Develop, maintain, and troubleshoot automated and real-time data feeds (API, SFTP, flat files, JSON, XML, HL7, FHIR, etc.).

• Build and optimize ETL/ELT pipelines using industry-standard tools and cloud platforms.

• Perform detailed data validation, reconciliation, and quality checks before and after migration.

• Work with business and technical teams to understand data requirements, transformation logic, and integration needs.

• Monitor daily/weekly data loads and proactively resolve feed failures or data discrepancies.

• Document data mappings, migration rules, feed specifications, and error-handling procedures.

• Collaborate with QA teams for test planning, test data preparation, and UAT support.

• Support production go-live, data cutover planning, and post-migration audits.

• 5 10 years of hands-on experience in data migration, data integration, and data feed development.

• Strong expertise in SQL (advanced queries, joins, stored procedures), data modeling, and relational databases.

• Experience with ETL tools and technologies such as Informatica, Talend, SSIS, Snowflake, Databricks, Airflow, AWS Glue, Azure Data Factory, etc.

• Experience working with API-based integrations (REST, SOAP) and file-based data feeds (CSV, XML, JSON).

• Strong understanding of data quality, data cleansing, and reconciliation techniques.

• Ability to understand and map complex datasets across multiple systems.

• Excellent analytical skills and attention to detail.

• Strong documentation and communication skill