Akkodis is seeking multiple of a GCP Data Engineer for a 12+ months contract position with one of our Automotive Industry leading Direct Client in Dearborn, MI (hybrid schedule). The ideal candidate would be someone with a minimum 10+ years of overall experience in Data Engineering with GCP and Python. Pay Range: $55.00 - $65.00 hourly on W2(all inclusive), the pay range may be negotiable based on experience, education, geographic location, and other factors. Position Description: • Design data solutions in the cloud or on premises, using the latest data services, products, technology, and industry best practices. • Experience migrating legacy data environments with a focus performance and reliability. • Data Architecture contributions include assessing and understanding data sources, data models and schemas, and data workflows. • Ability to assess, understand, and design ETL jobs, data pipelines, and workflows. • BI and Data Visualization include assessing, understanding, and designing reports, creating dynamic dashboards, and setting up data pipelines in support of dashboards and reports. • Data Science focus on designing machine learning, AI applications, MLOps pipelines. • Addressing technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products. • Experience in crafting data lake house solutions in GCP. This includes relational & vector databases, data warehouses, data lakes, and distributed data systems. • Must have PySpark API processing knowledge utilizing resilient distributed datasets (RDSS) and data frames. Skills Required: • Design data solutions in the cloud or on premises, using the latest data services, products, technology, and industry best practices. • Experience migrating legacy data environments with a focus performance and reliability. • Data Architecture contributions include assessing and understanding data sources, data models and schemas, and data workflows. • Ability to assess, understand, and design ETL jobs, data pipelines, and workflows. • BI and Data Visualization include assessing, understanding, and designing reports, creating dynamic dashboards, and setting up data pipelines in support of dashboards and reports. • Data Science focus on designing machine learning, AI applications, MLOps pipelines. • Addressing technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products. • Experience in crafting data lake house solutions in GCP. This includes relational & vector databases, data warehouses, data lakes, and distributed data systems. • Must have PySpark API processing knowledge utilizing resilient distributed datasets (RDSS) and data frames. Skills Preferred: • Ability to write bash, python and groovy scripts to help configure and administer tools. • Experience installing applications on VMs, monitoring performance, and tailing logs on Unix. • PostgreSQL Database administration skills are preferred. • Python experience and experience developing REST APIs Experience Required: • 10 + Years Education Required: • Bachelor's Degree Computer Science, Computer Information Systems, or equivalent experience. Education Preferred: • Masters Data Science Equal Opportunity Employer/Veterans/Disabled: Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy. The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: · The California Fair Chance Act · Los Angeles City Fair Chance Ordinance · Los Angeles County Fair Chance Ordinance for Employers · San Francisco Fair Chance Ordinance. Thanks & Regards Aditya Agnihotri Sr. Resource Development Manager Email: aditya.agnihotri@akkodisgroup.com Direct: +1(610)-472-0979 LinkedIn: https://www.linkedin.com/in/aditya-agnihotri-7300722061/ (An Adecco Group Company) World Leader in IT and Engineering Workforce Solutions www.akkodis.com “Believe you can and you're halfway there.” — Theodore Roosevelt