Data Engineer


Job Overview

At eXcell, we set you up for job success right from the start. Our precision recruiting process aligns the right fit for the right people. Our hugely popular client is looking for a savvy Data Engineer to join a growing team of analytics experts who will be responsible for expanding and optimizing the data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. They will support data scientists and product teams on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. The ideal candidate is self-directed when it comes to exploring and understanding a dataset, especially when it comes to finding and fixing issues in the data. The ideal candidate will have experience and success leading deep technical architecture discussions with partner product team engineers to drive data platform and advanced analytics solutions to production. Key responsibilities include Formulates technical requirements, defines overarching solution architecture, and documents specific tasks for effective, reliable, and GDPR compliant telemetry data infrastructure Defines and guides partner product engineering teams on the technical standards of telemetry data pipeline, ensuring high quality and consistent delivery from the partner teams, and supporting ease of collaboration and consistency across products Maintains a deep understanding of multiple internal and external data platforms, technologies, and techniques on which to build data logging, storage, analysis and modeling solutions, and continues to expand and learn as new capabilities emerge Identifies and effectively documents new, innovative data techniques and standards to expand the capability and value offerings of the Experience Analytics team Regularly reviews with the Experience Analytics Lead on team structure, process, technical approach, and effectiveness, and implements improvements as necessary Collaborate with other teams within the wider org, and externally, on shared data-related objectives and solutions Qualifications Required skills and experience Bachelor’s degree in computer science or engineering, database systems, mathematics OR 3+ years of industry experience in a data engineering or data solution architect-focused role Experience designing, implementing, and deploying data pipelines Relational databases and non-relational database, Cosmos, Azure data lake, SQL Previous experience knowledge in ADF, Databricks ADL Object oriented programming, e.g. C Engineering best practices, e.g. DevOps, GIT Required attributes Self-motivated with a passion for research, learning, and continuous self-improvement Clear communication and effective collaboration Ability to effectively articulate complex concepts and conclusions to non-experts Prioritize clean, sustainable, engineering practices Additional experience we’d love to see (though not required) Project management, collaboration, and organizational skills, guiding product teams to improve data infrastructure Leading or mentoring less experienced engineers or data engineers in partner teams Data Science, machine learning, statistical models, concepts, and application Agile development practices Experience working with product design disciplines W2 only, no Corp to Corp. We are unable to sponsor H1B visas at this time. eXcell http Supports Equal Employment Opportunity eXcell http , a division of CompuCom Systems, Inc., a global company headquartered in Bellevue, Washington, provides IT staffing services and solutions to Fortune 1000 companies as well as small and medium business. For more information, visit http .Data Engineer 1

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