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Popular mid-level data engineering role with broad skills and metro setting, leading to high candidate competition.
Core data engineering skills are transferable, though healthcare reporting and SAP experience increase domain specificity.
Explicit 6+ years requirement and mandatory data engineering skills increase filtering rigor.
Lead and oversee data engineering initiatives including data migration, validation, reconciliation, and reporting to support legal reporting and historical data management.
Manage infrastructure readiness, security patching, performance tuning and troubleshooting for data engineering systems across multiple database platforms and ETL pipelines.
Coordinate with stakeholders and vendors while leading and developing people to ensure successful application retirement and data archiving projects.
Bachelor's degree in computer science, IT, data engineering, software engineering or equivalent experience.
6+ years of experience in data engineering, big data architecture, software development or data warehousing.
Proficiency with SQL, query optimization, ETL, data modeling, and tools like Solix CDP, Microsoft SQL Server, MySQL, IBM Db2, Power BI, SAP BO, Databricks, Windows Server.
Certification in data engineering or cloud computing architecture preferred but not mandatory.
Experienced leader capable of managing complex data engineering projects involving data migration, archival, and application retirement.
Proficient in multiple database environments and data engineering technologies with ability to coordinate vendors and stakeholders effectively.
Comfortable operating in regulated environments requiring legal reporting and historical data management accuracy.