Enterprise Data Engineer - SQL, Python, Cloud Platforms & Data Migration Support

Requirements

• Bachelor's or Master's degree in Data Science, Computer Science, or a related field
• 10+ years supporting enterprise data management, large-scale data migrations, and data warehousing in regulated environments
• Certifications supporting cloud data management or enterprise data governance are advantageous (e.g., Snowflake Data Engineer, AWS or GCP certifications)
• Proven

Additional Information

Job Summary Synechron is seeking an experienced Data Migration and Data Engineering Specialist supporting large-scale data transformation projects. This role involves leveraging advanced SQL development and Python scripting to support data migration, data warehousing, and enterprise analytics initiatives. The ideal candidate will design and execute complex data pipelines, support cloud-based data environments, and apply AI integration techniques to enhance operational efficiency and data quality. Software Requirements Required Software Proficiency: SQL (Snowflake, SQL Server) - advanced skills in designing, developing, and optimizing queries supporting data migration and warehousing (supporting 10+ years) Python (latest version, e.g., Python 3.8+) - extensive experience scripting, automating data workflows, and supporting data transformation projects (supporting 10+ years) Data warehousing technologies supporting scalable data storage and data lakes in Snowflake or SQL Server (support supporting 10+ years) Data migration tools: supporting complex data conversions, migration validation, and reconciliation support Preferred Software Skills: Cloud platform support: AWS, Azure, or GCP - supporting data platform migration and cloud-native data management (preferred) ETL & Data Pipelines: Talend, Informatica, or similar supporting large enterprise data integration support Overall Responsibilities Design, develop, and optimize scalable data pipelines supporting enterprise data migration, analytics, and compliance needs Support data validation, reconciliation, and cleansing activities, ensuring integrity during migration processes Collaborate with data architects, scientists, and business stakeholders to translate business needs into robust data solutions supporting operational and analytical objectives Support cloud-based data environments, including migration support, schema evolution, and data platform setup Automate data workflows supporting data load, transformation, and validation operations supporting continuous delivery Monitor data pipeline performance, troubleshoot failures, and optimize for performance and data quality Develop and maintain comprehensive documentation for data integrations, schemas, migration processes, and operational workflows Support ongoing data quality initiatives, data governance, and compliance in line with enterprise standards Technical Skills (By Category) Languages & Data Tools (Essential): SQL (Snowflake, SQL Server): data validation, migration, and query optimization support Python: scripting, automation of data workflows, transformation support Databases & Data Management: Relational databases: SQL Server, Snowflake supporting enterprise data warehouses and data lakes Data validation, reconciliation, and schema design supporting data quality and compliance Cloud & Infrastructure: AWS, Azure, or GCP (supporting cloud migration and hybrid architecture) (preferred) Data Integration & Migration: Support for ETL tools (Talend, Informatica) or scripting frameworks supporting enterprise data migration Security & Compliance: Knowledge of encryption, data masking, access controls, supporting data privacy and security standards (e.g., GDPR, HIPAA) Experience Requirements 10+ years supporting enterprise data warehouses, large-scale data migration, and analytics solutions Proven track record designing, executing, and supporting complex data pipelines supporting enterprise data platforms Extensive experience with SQL, Python, cloud data migration, and data validation in regulated or large enterprise environments supporting compliance standards Demonstrated ability to optimize data workflows, ensure data integrity, and support cloud migration projects supporting operational resilience Day-to-Day Activities Develop, test, and support data migration pipelines and data validation workflows supporting enterprise projects Collaborate with data teams to translate business requirements into scalable and secure data solutions Support data platform migrations, schema updates, and performance tuning activities supporting operational efficiency Troubleshoot data discrepancies, performance bottlenecks, and security gaps supporting compliance and operational resilience Automate data loading, transformation, and reconciliation workflows supporting continuous integration/delivery practices Maintain detailed documentation for data schemas, workflows, migration processes, and operational procedures Support ongoing data governance initiatives, data security, and compliance support activities

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