Data/Analytics Engineer joining Trimble's Business Intelligence team to evolve the data platform. Managing ETL processes, ensuring data quality and integration for insights.
Responsibilities
Join our data analytics team to drive the evolution of our data platform and execute critical data projects.
Lead or actively participate in the migration of data storage and ETL processes to Snowflake, integrating downstream with BI tools (including Domo).
Design and implement scalable data schemas, audit existing data flows, and ensure the integrity of data for analytics and reporting.
Spearhead data quality and completeness initiatives by designing advanced record linkage and enrichment pipelines using Python and the Splink library.
Ensure comprehensive documentation and proper handover of new data enrichment ecosystems and processes.
Requirements
Bachelor’s or Master's degree in Data Science, Computer Science, Information Systems, or a related field.
Proven experience as a Data/Analytics Engineer, ideally in a growing or evolving data environment.
Expert knowledge in Snowflake is required.
Very good Python programming skills are a must.
Experience with ETL processes and migrating from Domo (or similar BI platforms) to modern data warehouses.
Strong interest and focus on data backend and infrastructure topics.
Ability to work in a fast-paced environment and solve problems hands-on.
Strong problem-solving skills and attention to detail.
Knowledge of data governance and data quality best practices.
Benefits
Medical
Dental
Vision
Life
Disability
Time off plans
Retirement plans
Tax savings plans for health, dependent care and commuter expenses
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