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Senior Data Architect
hace 1 mes
Data Engineer Role Overview
At Trimble, we're seeking a highly skilled Data Engineer to join our Marketing Business Intelligence team. As a Data Engineer, you will design, build, and maintain the data infrastructure that powers our marketing analytics and reporting. Your expertise will drive data-driven decision-making and contribute to the success of Trimble's data-driven initiatives.
Key Responsibilities:
- Design and implement scalable data pipelines to collect, integrate, and transform marketing data from various sources into a centralized data repository.
- Build and maintain a robust data warehouse/data lake solution to store and manage large volumes of structured and unstructured marketing data.
- Develop and automate ETL (Extract, Transform, Load) processes to ensure data quality, reliability, and accessibility for marketing analytics and reporting.
- Collaborate with marketing analysts and data scientists to understand their data requirements and provide them with clean, reliable, and accessible data for analysis and modeling.
- Implement data governance policies, data security measures (access controls, encryption), and data quality checks to ensure data integrity and compliance with regulations.
- Optimize data infrastructure performance, scalability, and cost-effectiveness to support the growing data needs of the marketing organization.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
- 8+ years of experience as a Data Engineer, with a strong background in building and maintaining data pipelines and data warehousing solutions.
- Proficiency in programming languages such as Python, SQL, SnowSQL, and Scala.
- Hands-on experience with data engineering tools and frameworks (Apache Spark, Kafka, Apache Airflow, dbt).
- Knowledge of cloud computing platforms (Snowflake, AWS, Azure, GCP) for data storage and processing.
- Strong understanding of data modeling, database design principles, and data governance best practices.
- Excellent problem-solving, analytical, and communication skills.
- Ability to work collaboratively in a cross-functional team environment.
