Job#: 2023226

Job Description:

Hybrid On-Site - Dearborn MI 12 + Month Contract

Position Description: The Data Engineer will be a critical part of our team, focusing on developing, implementing, and optimizing cloud data storage solutions. You will collaborate with various teams and external partners to ensure the delivery of high-quality data solutions that align with Fords business objectives. This role requires a blend of technical expertise, collaboration, and innovation to support near real-time analytics, build data products, and ensure data quality and availability. * Collaborate with the Manufacturing & Quality Analytics Team, IT, Data Tech, and external solution partners to develop and deliver the Data Factory. * Contribute to data standards, interoperability, quality, and availability to support GDI&A goals. * Design and implement data engineering and streaming solutions for real-time analytics. * Build analytical model objects and data products to support scalable growth and accelerate business value delivery. * Develop data pipelines for cloud solutions, focusing on IIOT & Quality projects. * Master various data sources and contribute to the creation of the Data Discovery Hub. * Perform ETL activities and assist with customer inquiries and incident resolution. * Lead integration projects and liaise with business customers on status updates. * Optimize code design within/across teams for improved performance. Skills Required: - Google Cloud Platform - Data Engineering - Data Warehousing - Data Modeling - RDBMS - SQL - Python - ETL Skills Preferred: - PubSub - Data Form - Data Flow - DBT - Airflow - Astronomer - Kafka Experience Required: * 3+ Years of experience with Data Engineering * 3+ years of experience with data warehousing. * 3+ years of experience with Google Cloud Platform, RDBMS, SQL, Hadoop Ecosystem. * 2+ years of experience with Python, Apache Spark. * 2+ years of experience in tuning and query optimization. Experience Preferred: * Familiarity with GCP tools (Big Query, Cloud Storage, PubSub, DataFlow, etc.). * Experience with Alteryx, Tableau, Looker. * Excellent critical thinking, proactive decision-making, and communication skills. * Experience in coordinating data landing activities. * Strong collaboration and team leadership abilities. * Knowledge of machine learning concepts and models. Education Required: * Bachelor's degree in Computer Science, Computer Engineering, Analytics, or a related field. Education Preferred: * Masters degree in Computer Science, Computer Engineering, Analytics, or a related field. Additional Information : Remote/Hybrid. Preferred Hybrid

EEO Employer

Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [email protected] or 844-4