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Lead Data Engineer

4 months ago

Atlanta, United States Motion Recruitment Full time
The Lead Data Engineer position is part of the Marketing Technology team focused on enabling the development and roll-out of world-class modern Marketing Data Engineering capabilities at the Customer. This role partners with teams responsible for Marketing and Digital Guest Engagement platforms that leverage world-class technology to create personalized, relevant, data-driven experiences. In this role, you will lead teams designing and building Data & BI solutions that capture, explore, transform, and utilize curated data to support Marketing Business Unit’s Data-driven transformation journey and decision-making process. In addition to leading the design and implementation of data products, you will also mentor and develop a team of contingent worker data engineers onsite and offshore.

Locations: Atlanta, GA – hybrid, onsite / remote – 3 days onsite

Contract to Hire Required Skills & Experience 5+ years of hands-on Data Engineering experience with On-Prem and Cloud based Data tools/Platforms, 3+ years of experience in data engineering with expertise specifically in Azure Data Factory, Databricks, PySpark, Python and related services. Proven experience in leading and managing technical teams in data engineering and analysis. Experience in designing and developing data models and schemas. Strong proficiency in programming languages such as Python. Experience in developing and maintaining CI/CD pipelines for automated deployment and testing. Good understanding of cloud computing and its services (e.g., Azure, AWS, GCP). Excellent problem-solving skills and ability to work in a fast-paced environment. Experience with the some of the following concepts: Real-time & Batch Data Processing, Workload Orchestration, Cloud, Data lakes, Data Security, Networking, Serverless, Testing / Test Automation (Unit, Integration, Performance, etc.), WebServices, DevOps, Logging, Monitoring, and Alerting, Containerization, Encryption / Decryption, Data Masking, Cost & Performance Optimization
What You Will Be Doing Mentoring (20%) Manage and lead a technical team responsible for data engineering and analysis. Focusing on individual's professional development as well as overall team health and technical proficiency on their assigned project tasks. Conducts product work reviews with team members. Design and implement scalable data solutions on Azure platform using Data Factory, Databricks, PySpark, Python and other related services. Build data pipelines and workflows to ingest, transform, and load data from various sources. Develop and maintain data models and schemas for efficient data storage and retrieval. Develop and maintain CI/CD pipelines for automated deployment and testing of data solutions. Lead development and production deployment of analytic Data and BI products (also potentially pilots and proof of concepts), determining appropriate design strategies and methodologies Execute data strategies with an understanding of enterprise architecture, consumption patterns, platforms and application infrastructure. Collect weekly status updates from Dev teams across multiple Data POD teams and consolidate for leadership project health reporting.