Data Engineering Engineer 2 #1036039
Job 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

 
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 Info:
 
At FastTek Global, Our Purpose is Our People and Our Planet. We come to work each day and are reminded we are helping people find their success stories. Also, Doing the right thing is our mantra.  We act responsibly, give back to the communities we serve and have a little fun along the way.
We have been doing this with pride, dedication and plain, old-fashioned hard work for 24 years!
FastTek Global is financially strong, privately held company that is 100% consultant and client focused.
We've differentiated ourselves by being fast, flexible, creative and honest. Throw out everything you've heard, seen, or felt about every other IT Consulting company. We do unique things and we do them for Fortune 10, Fortune 500, and technology start-up companies.
Our benefits are second to none and thanks to our flexible benefit options you can choose the benefits you need or want, options include:
 

• Medical and Dental (FastTek pays majority of the medical program)
• Vision
• Personal Time Off (PTO) Program
• Long Term Disability (100% paid)
• Life Insurance (100% paid)
• 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match

 
Plus, we have a lucrative employee referral program and an employee recognition culture.
FastTek Global was named one of the Top Work Places in Michigan by the Detroit Free Press in 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023!
To view all of our open positions go to: https://www.fasttek.com/fastswitch/findwork
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AI & Hiring Disclosure
We use AI tools to support parts of our hiring process, such as reviewing applications and identifying potential matches. These tools are designed to promote efficiency, consistency, and fairness, and they are always used under human oversight.
All personal data collected is used solely for recruitment purposes, and you have the right to know, access, or request deletion of your data at any time, subject to legal limits.
If AI will be used in a video interview, you'll be informed in advance and asked for your consent, with the option to opt out.
Our tools are regularly reviewed to detect potential bias and to ensure compliance with all applicable laws and our commitment to inclusive hiring.
To learn more or exercise your rights, please contact us at info@fasttek.com.