Senior Engineer, Data Engineering
2 settimane fa
OverviewJoin to apply for the Staff Data Engineer/Data Architect role at Trimble Inc.The company provides logistics solutions across several areas, including buying and selling logistics services, organizing shipment execution, dock/yard/truck and driver schedules, and invoice auditing for logistics services. It was acquired by Trimble for $2 billion USD in 2022. We are seeking a highly skilled Staff Data Engineer/Data Architect 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.
Responsibilities Lead the design and implement robust, scalable, and secure cloud-based data pipelines and architectures in AWS (later maybe migrating to MS Azure).
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.
Identify and implement process improvements to enhance efficiency, quality, and scalability of data engineering and cloud operations.
Infrastructure: Glue, Lambda, Step Function, Batch, ECS, Quicksight, Machine Learning, Sagemaker, Dagster
DevOps: Database: Language: Bash, Python (PySpark, Pydantic, PyArrow), SQL
8 years of proven experience as a Data Engineer with current focus on data architecture design.
Extensive experience with AWS and Azure cloud platforms and their data services (e.g., AWS Redshift, AWS Glue, AWS S3, Azure Data Lake, Azure 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.
Understanding of cloud cost management and optimization strategies.
Familiarity with CI/CD pipelines and DevOps practices.
Familiarity with data visualization tools (e.g., Power BI, QuickSight) is a plus.
Remote role in the following countries: We are not offering freelancing contracts, only local employment contracts.
Mid-Senior level
Full-time
Software Development
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