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About the role
Senior Data Engineer – Migration & Consolidation Experience Required: 7+ Years Location: Remote (United States) More Than 20+ Openings Travel: Up to 40% travel to client locations may be required Required Skills 7+ years of experience in Data Engineering, System Integration, or Data Migration
Strong experience with Python and SQL
Hands-on experience with PySpark and modern data processing frameworks
Experience working with ETL/ELT and data integration tools
Strong experience building scalable and maintainable data pipelines
Experience with cloud platforms such as AWS, Azure, or GCP
Experience with modern data warehouse and lakehouse platforms such as Snowflake, Databricks, BigQuery, Redshift, Synapse, or Delta Lake
Experience integrating enterprise systems such as SAP and Oracle
Knowledge of semantic modeling, knowledge graphs, or ontology frameworks
Exposure to AI-driven tooling or LLM-based solutions in data workflows
Strong problem-solving skills and ability to work on complex enterprise data environments
Experience collaborating with technical teams and enterprise stakeholders
Preferred Skills Experience with real-time streaming platforms such as Kafka, Kinesis, Event Hubs, or Pub/Sub
Experience working with enterprise Master Data Management platforms
Knowledge of CI/CD pipelines and infrastructure-as-code tools
Experience building APIs and microservices
Understanding of data governance, data privacy, and regulatory frameworks such as GDPR, HIPAA, SOC2, or CCPA
Familiarity with data observability, catalog, and lineage platforms
Knowledge of enterprise business processes such as financial operations, supply chain, procurement, or revenue workflows
Knowledge of industry standards such as EDI, HL7, FHIR, SWIFT, and XBRL
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