Dechen Consulting
About Dechen Consulting Group (DCG)
Dechen Consulting Group (DCG) is a rapidly expanding, innovative IT Professional Services and Management Consulting company with a track record of more than twenty-five years in delivering skilled professionals to our clients across diverse sectors.
Job Opportunity
We are currently seeking a skilled professional for a W2 contract opportunity in Dearborn, MI. This role has the potential to extend over multiple years, with the chance to transition to a direct hire position with our client. We provide healthcare, vacation, relocation assistance, and visa sponsorship/transfer. This is a W2 position, not C2C. THIRD PARTIES NEED NOT APPLY. This role offers excellent prospects for career progression!
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 Collaborate with business and technology stakeholders to understand current and future data requirements. Design, build and maintain reliable, efficient, and scalable data infrastructure for analytics models, data collection, storage, transformation, and monitoring. Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable workflow. Design, implement and maintain existing and future data platforms like data warehouses, data lakes, data lakehouse, etc. for structured and unstructured data. Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks. Ensure optimum performance and identify improvement opportunities. Skills Required
GCP Cloud Run, Kubernetes, Spark, SonarQube, GCP, Google Cloud Platform, Tekton, Python, API, Jira Additional 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 Information
Original Duration: 364 Days
4 days in the office
We Are a People-Focused Company with a deep emphasis on family values and look forward to working with you.
Dechen Consulting Group (DCG) is a rapidly expanding, innovative IT Professional Services and Management Consulting company with a track record of more than twenty-five years in delivering skilled professionals to our clients across diverse sectors.
Job Opportunity
We are currently seeking a skilled professional for a W2 contract opportunity in Dearborn, MI. This role has the potential to extend over multiple years, with the chance to transition to a direct hire position with our client. We provide healthcare, vacation, relocation assistance, and visa sponsorship/transfer. This is a W2 position, not C2C. THIRD PARTIES NEED NOT APPLY. This role offers excellent prospects for career progression!
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 Collaborate with business and technology stakeholders to understand current and future data requirements. Design, build and maintain reliable, efficient, and scalable data infrastructure for analytics models, data collection, storage, transformation, and monitoring. Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable workflow. Design, implement and maintain existing and future data platforms like data warehouses, data lakes, data lakehouse, etc. for structured and unstructured data. Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks. Ensure optimum performance and identify improvement opportunities. Skills Required
GCP Cloud Run, Kubernetes, Spark, SonarQube, GCP, Google Cloud Platform, Tekton, Python, API, Jira Additional 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 Information
Original Duration: 364 Days
4 days in the office
We Are a People-Focused Company with a deep emphasis on family values and look forward to working with you.