GCP Data Engineer

On-site Dearborn, MI
12 + Month Contract

Skills: Required: • Technical Skills: • Proficiency in data pipeline tools and frameworks such as Apache Airflow, Cloud Composer, and Cloud Dataflow. • Strong knowledge of GCP services, including BigQuery, Cloud Storage, Cloud Run, and Cloud Functions. • Experience with SQL, Python, and other programming languages commonly used in data engineering. • Familiarity with data modeling, ETL processes, and data integration techniques. • Soft Skills: • Excellent problem-solving and analytical skills. • Strong communication and collaboration abilities. • Ability to work independently and as part of a team in a fast-paced, dynamic environment. Preferred: N/A

Education: Required: Bachelors in Science Preferred: Masters in Science

Description: Key Responsibilities: 1. Data Pipeline Development: • Design, build, and maintain scalable and robust data pipelines on GCP using tools such as Apache Airflow, Cloud Composer, and Cloud Dataflow. • Implement data integration solutions to ingest data from various sources, including cloud storage, and third-party APIs. 2. Data Warehousing: • Develop and optimize data warehouse solutions using BigQuery and other GCP services. • Ensure data accuracy, consistency, and security within the data warehouse environment. • Monitor and troubleshoot data pipeline and warehouse issues to maintain system reliability. 3. Cloud Platform Expertise: • Utilize GCP services such as Cloud Storage, Cloud Run, and Cloud Functions to build scalable and cost-effective data solutions. • Implement best practices for cloud infrastructure management, including resource provisioning, monitoring, and cost optimization. 4. Collaboration and Communication: • Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality data solutions. • Collaborate with cross-functional teams to design and implement data models, ETL processes, and reporting solutions. 5. Automation and Optimization: • Develop automated workflows using Apache Airflow and Astronomer to streamline data processing and improve efficiency. • Continuously optimize data pipelines for performance, scalability, and cost-effectiveness. 6. Documentation and Training: • Create and maintain comprehensive documentation for data pipelines, data models, and infrastructure components. • Provide training and support to team members and stakeholders on data engineering best practices and GCP services. Experience Required: 5+ years in data warehouse and 2+ years in GCP Experience Preferred: 0 Additional Safety Training/Licensing/Personal Protection Requirements: Additional Information: Onsite Position

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 844-463-6178 .

Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.