Google Cloud Platform Data Engineer

Miracle Software Systems, Inc. is seeking a skilled Google Cloud Platform Data Engineer to join a long-term project with a direct client located in Dearborn, Michigan. Please review the job description below and share your updated resume if you're interested in pursuing this opportunity.

Requirement Details:
Job Title: Google Cloud Platform Data Engineer
Location: Dearborn, Michigan
Duration: Full-time

Skills Required: Google Cloud Platform, AWS,Python, Kubernetes, Spark, API, MLOps, and Machine Learning frameworks (TensorFlow/PyTorch)

Description:

Experience Required: 8+ years

Work Status: 4 days Onsite

"Position Description:
Employees in this job function are responsible for designing, building, and maintaining data solutions including analytics and data infrastructure, pipelines, etc. for collecting, storing, processing and analyzing large volumes of data efficiently and accurately Key Responsibilities: 1) Collaborate with business and technology stakeholders to understand current and future data requirements 2) Design, build and maintain reliable, efficient and scalable data infrastructure for analytics models, data collection, storage, transformation, and monitoring 3) Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable workflow 4) Design, implement and maintain existing and future data platforms like data warehouses, data lakes, data lakehouse etc. for structured and unstructured data 5) Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks 6) Ensure optimum performance and identify improvement opportunities

Skills Required:
Google Cloud Platform Cloud Run, Kubernetes, Spark, SonarQube, Google Cloud Platform, Google Cloud Platform, Tekton, Python, API, Jira

Skills Preferred:
We are seeking an experienced Data Engineer to design, implement, and maintain robust analytics pipeline solutions. These solutions will support the analysis, modeling, and prediction of upstream and downstream auction prices, directly benefiting the Business and Sales Planning Analytics (BSPA) Used Vehicle Analytics team and its customers. The ideal candidate will excel at developing solutions, maintaining DevSecOps, and collaborating with cross-functional teams to improve processes and drive business performance. Responsibilities: Develop, build and maintain infrastructure required for analytics, including data pipelines, model deployment platforms, and model monitoring. Develop and maintain tools and libraries to support the development and deployment of models. Automate machine learning workflows using DevSecOps principles and practices. Collaborate with development and operations teams to implement software solutions that improve system integration and automation of analytic pipelines. Design, develop, and manage data flows and APIs between upstream systems and applications. Troubleshoot and resolve issues related to system communication, data flow, and data quality. Collaborate with technical and non-technical teams to gather integration requirements and ensure successful deployment of data solutions. Create and maintain comprehensive technical documentation of software components. Work with IT to ensure systems meet evolving business needs and comply with data governance policies and security requirements. Implement and enforce the highest standards of data quality and integrity across all data processes. Manage deliverables through project management tools.

Experience Required:
Engineer 2 Exp: 4+ years Data Engineering work experience AWS

Experience Preferred:
5+ years of experience in the automotive industry, particularly in auto remarketing and sales. Master's degree in a relevant field (e.g., Computer Science, Data Science, Engineering). Proven ability to thrive in dynamic environments, managing multiple priorities and delivering high-impact results even with limited information. Exceptional problem-solving skills, a proactive and strategic mindset, and a passion for technical excellence and innovation in data engineering. Demonstrated commitment to continuous learning and professional development. Familiarity with machine learning libraries, such as TensorFlow, PyTorch, or Scikit-learn Experience with MLOps tools and platforms.

Education Required:
Bachelor's Degree

Education Preferred:
Master's Degree

Additional Safety Training/Licensing/Personal Protection Requirements:

Additional Information:
4 days in the office
"

If you re interested in this opportunity, please share your updated resume at amishra1@miraclesoft.com or reach out to me directly at (two four eight) - (four one two) - (zero three five four).

About Miracle Software Systems, Inc.:
Incorporated in 1994, we have come a long way from our roots. Growing from the days of MRP to ERP transition and the birth of the Internet, we are now a leader in the IT world, working with the latest technologies to innovate and help businesses across the globe evolve. Headquartered in Novi, Michigan with over 2500 Miraclites across the globe, Miracle is a privately owned, minority-certified firm focussed on helping our customers transform digitally. We are proud to share the awards and accolades we have received and the milestones we have achieved throughout our 30-year history. Together with our partners, we assist our customers in creating new business models and driving strategic value in the digital era.