Lead Cloud Data Engineer

RESPONSIBILITIES:Kforce has a client in Saint Louis, MO that is seeking a Lead Cloud Data Engineer.Overview:As our client moves towards becoming a more data-driven learning and decisioning organization, and ventures toward a large-scale cloud migration and digital transformation, it is imperative that we are able to develop and deploy an Intelligent Data Platform that: meets various, complex and evolving needs across the enterprise, effectively manages data in compliance with data governance and security standards, continuously improves upon data quality and closes information gaps, and fully aligns with organizational imperatives to further elicit discovery, enhance decisioning, foster innovation, and continuously improve the efficiency, effectiveness, and impact of business and health service offerings. In this backdrop, the role of Lead Cloud Data Engineer is crucial. Summary:In this role, the Lead Cloud Data Engineer will report to Director of Cloud Data Platform and Engineering, and will have an active role designing and implementing the Intelligent Data Platform's information architecture and data engineering. The Lead Cloud Data Engineer will support high data availability and quality to enhance the informativeness of the company's information assets, and help ensure the Intelligent Data Platform is producing value toward supporting the company's strategic imperatives and digital transformation. This role will require communication and collaboration with organizational leaders as well as coworkers from other departments.REQUIREMENTS: Bachelor's degree or 5+ years of experience in data movement and ETL processes 5+ years of experience in data movement, transformation, and process automation 3+ years of experience writing and optimizing complex SQL queries across large data sets and data models Experience working collaboratively with cross departmental project teams to roll out system wide deliverables Experience moving and transforming data within systems such as Azure Data Lake, Blob Storage, Hive Metastore, or comparable on other cloud platforms Experience using Python for data movement and transformation Knowledge of optimal design of data and analytic environments, analyzing complex distributed production deployments, and making recommendations to optimize performance Extensive experience writing and maintaining a production grade data architecture and pipelines Experience maintaining data in a secure environment, while working with security compliance, PHI, PII and security best practices Experience with change management, source control, and continuous deployment strategies Effective communication skills to turn requirements into project plans and communicate out to partnering teams Experience working an agile methodology A team player with a servant ethos Passion for development and learning, a team first attitude, and comfort speaking truth to power Self-motivated and results-driven individual who will ensure the performance of the Intelligent Data Platform while continually seeking to improve its systemsKforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.