Data Engineer

HTC Global Services wants you. Come build new things with us and advance your career. At HTC Global you'll collaborate with experts. You'll join successful teams contributing to our clients' success. You'll work side by side with our clients and have long-term opportunities to advance your career with the latest emerging technologies.

At HTC Global Services our consultants have access to a comprehensive benefits package. Benefits can include Paid-Time-Off, Paid Holidays, 401K matching, Life and Accidental Death Insurance, Short & Long Term Disability Insurance, and a variety of other perks.

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

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 :

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 :

Education Preferred :

Our success as a company is built on practicing inclusion and embracing diversity. HTC Global Services is committed to providing a work environment free from discrimination and harassment, where all employees are treated with respect and dignity. Together we work to create and maintain an environment where everyone feels valued, included, and respected. At HTC Global Services, our differences are embraced and celebrated. HTC is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills, and experiences within our workforce. HTC is proud to be recognized as a National Minority Supplier.

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