Job Description:
The Data Engineer will lead the design and architecture of AWS-based data solutions, develop end-to-end data pipelines, manage data lakes, and optimize data platforms for performance and scalability. Responsibilities include writing and testing Python, SQL or other code, conducting code reviews, implementing end to end ETL/ELT processes, enforcing data governance policies, and driving innovation in data engineering practices. This role also involves collaboration with cross-functional teams, aligning with stakeholders on technical requirements, providing technical leadership, and mentoring team members to enhance overall team efficiency.
Key Responsibilities:
- Design and implement scalable data solutions on AWS, including data lakes, warehouses, and streaming systems.
- Develop, optimize, and maintain data pipelines using AWS services.
- Implement robust ETL/ELT processes and event-driven data ingestion.
- Establish and enforce data governance policies, ensuring data quality, security, and compliance.
- Optimize cloud resources for performance, availability, and cost-efficiency.
- Partner with cross-functional teams to gather requirements and deliver comprehensive cloud-based solutions.
- Identify opportunities to enhance systems, processes, and technologies while troubleshooting complex technical challenges.
Our current tech-stack:
- AWS: Glue, Lambda, Step Function, Batch, ECS, Quicksight, Machine Learning, Sagemaker, etc.
- DevOps: Cloudformation, Terraform, Git, CodeBuild
- Database: Redshift, PostgreSQL, DynamoDB, Athena
- Language: Bash, Python, SQL
Qualifications:
- Bachelor's degree in Computer Science, Engineering, or related field. Master's degree preferred.
- Expertise in AWS platforms, including data services. Basic knowledge of Azure is preferred.
- Extensive experience in data and cloud engineering roles.
- Expertise in AWS platforms, including data services.
- Strong competence in ETL processes, data warehousing, and big data technologies.
- Advanced skills in scripting, Python, SQL, and infrastructure automation tools.
- Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes).
- Experience with data visualization tools (e.g., QuickSight) is a plus.
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What We Do
Trimble is transforming the way the world works by delivering products and services that connect the physical and digital worlds. Core technologies in positioning, modeling, connectivity and data analytics enable customers to improve productivity, quality, safety and sustainability. From purpose built products to enterprise lifecycle solutions, Trimble software, hardware and services are transforming industries such as agriculture, construction, geospatial and transportation. For more information about Trimble (NASDAQ:TRMB), visit: www.trimble.com.
Trimble products are used in over 141 countries around the world. Employees in more than 30 countries, coupled with a highly capable network of dealers and distribution partners serve and support customers worldwide. As the market leader in most of our businesses, we offer a compelling value proposition to our customers based on productivity, return on investment and environmental stewardship. Come position yourself with an innovative industry leader and position yourself for success.
