Job title : Staff Data Engineer
About Trimble:
Trimble is a leading provider of advanced positioning solutions that maximize productivity and enhance profitability for our customers. We are an exciting, entrepreneurial company, with a history of exceptional growth coupled with a disciplined and strategic focus on being the best. While GPS is at our core, we have grown beyond this technology to embrace other sophisticated positioning technologies and, in doing so, we are changing the way the world works. Those who successfully lead others to meet our objectives are vital to our organization. Leadership at Trimble is much more than simply exercising assigned authority; we expect our leaders to embrace a mission-focused leadership style, demonstrating the strength of character, intellect and the ability to convert ideas to reality. www.trimble.com
Job Summary:
We are looking for a highly skilled Staff Engineer for our Data and Cloud Engineering team with expertise in AWS and Azure. The ideal candidate will have a strong technical background in designing, building, developing, and implementing data pipelines and cloud solutions along with excellent technical guidance and communication skills. This role requires a strong technical background in cloud platforms, data architecture, and engineering best practices.
Key Responsibilities:
- Lead the design and implement robust, scalable, and secure cloud-based data pipelines and architectures in MS Azure.
- Provide technical direction and mentorship to a team of engineers
- Ensure best practices in code quality, architecture, and design.
- Design and implement secure, scalable, and high-performance cloud infrastructure.
- Manage cloud resources, optimize costs, ensure high availability and disaster recovery.
- Automate infrastructure provisioning and deployment processes using Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, and ARM templates.
- Collaborate with cross-functional teams to understand data needs and deliver comprehensive cloud solutions.
- Oversee cloud infrastructure management, including monitoring, maintenance, and scaling of cloud resources.
- Ensure compliance with industry standards and regulatory requirements.
- Implement data governance policies and practices and ensure high data quality, integrity, and security across all cloud platforms.
- Develop and enforce best practices for cloud and data engineering, including documentation and code standards.
- Oversee the design and development of robust data pipelines and ETL processes.
- Identify and implement process improvements to enhance efficiency, quality, and scalability of data engineering and cloud operations.
- Troubleshoot and resolve complex technical issues related to data pipelines and cloud infrastructure.
- Stay current with emerging technologies and industry trends to drive innovation.
Tech-stack:
- Infrastructure: Glue, Lambda, Step Function, Batch, ECS, Quicksight, Machine Learning, Sagemaker, Dagster
- DevOps: Cloudformation, Terraform, Git, CodeBuild
- Database: Redshift, PostgreSQL, DynamoDB, Athena (Trino), Snowflake, Databricks
- Language: Bash, Python (PySpark, Pydantic, PyArrow), SQL
Qualifications:
- Min. 6 years of proven experience as a senior data and cloud engineer or similar role.
- Extensive experience with AWS and Azure cloud platforms and their data services (e.g., AWS Redshift, AWS Glue, AWS S3, Azure Data LakeAzure Synapse, Snowflake, Databricks).
- Strong understanding of ETL processes, data warehousing, and big data technologies.
- Proficiency in SQL, Python, and other relevant programming languages.
- Experience with infrastructure as code (IaC) tools such as Terraform, CloudFormation, or ARM templates.
- Knowledge of containerization and orchestration (e.g., Docker, Kubernetes).
- Understanding of cloud cost management and optimization strategies.
- Familiarity with CI/CD pipelines and DevOps practices.
- Excellent leadership, communication, and interpersonal skills.
- Ability to work in a fast-paced, dynamic environment.
- Strong problem-solving and analytical skills.
- Familiarity with data visualization tools (e.g., Power BI, QuickSight) is a plus.
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