Data Engineer III

• Collaborate with business and technology stakeholders to understand current and future data requirements.
• Design, build, and maintain reliable, efficient, and scalable data infrastructure for data collection, storage, transformation, and analysis.
• Plan, design, build, and maintain scalable data solutions, including data pipelines, data models, and applications.
• Design, implement, and maintain data platforms, including data warehouses, data lakes, and data lakehouses for structured and unstructured data.
• Design and develop analytical tools, algorithms, and programs to support data engineering activities, including scripting and task automation.
• Develop and maintain scalable data ingestion and curation pipelines from diverse data sources.
• Standardize and optimize data for analytical use while maintaining data quality.
• Leverage Python, SQL, and DBT/Dataform to build robust and efficient data pipelines.
• Utilize Google Cloud Platform services, including BigQuery, Dataflow, Pub/Sub, and Cloud Functions, to build and manage data platforms.
• Implement and manage data governance policies, access controls, and security best practices.
• Support efficient data workflow management and cloud infrastructure provisioning using Infrastructure as Code (IaC) best practices.
• Monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions.
• Identify opportunities to improve resource utilization and cost-effectiveness.
• Collaborate with data architects, application architects, and cross-functional teams to define and promote best practices, design patterns, and frameworks for cloud data engineering.
• Automate data platform processes to improve reliability, data quality, and operational efficiency.
• Communicate complex technical decisions clearly to technical and non-technical stakeholders.
• Stay current with industry trends and emerging technologies and identify opportunities to improve data platforms and capabilities.
• Develop comprehensive documentation for data engineering processes to support knowledge sharing, collaboration, and long-term system maintainability.

• 7+ years of experience in Data Engineering.
• Bachelor’s degree.
• Experience with Google Cloud Platform (Google Cloud Platform).
• Experience with Google Cloud Platform Cloud Run and BigQuery.
• Experience with Kafka.
• Experience with cloud architecture and cloud computing.
• Experience with software development and application development.
• Experience with SQL.
• Experience with Big Data technologies.
• Experience with Java.
• Experience with Python.
• Experience with application testing.
• Experience with Agile software development.
• Experience with APIs.
• Experience related to Artificial Intelligence and Expert Systems.

HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You ll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.

At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.

Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.