Senior AI Data Pipeline Engineer building scalable data pipelines and optimizing AI workflows at Trimble. Designing architectures that enhance digital construction technology across industries.
About the role
- Azure Data Engineer responsible for designing ETL pipelines with Azure Data Factory and Snowflake. Collaborating with teams to ensure data integration and quality.
Responsibilities
- Design and develop ETL/ELT pipelines using Azure Data Factory, Snowflake,
- and DBT.
- • Build and maintain data integration workflows from various data sources to
- Snowflake.
- • Write efficient and optimized SQL queries for data extraction and transformation.
- • Work with stakeholders to understand business requirements and translate them
- into technical solutions.
- • Monitor, troubleshoot, and optimize data pipelines for performance and
- reliability.
- • Maintain and enforce data quality, governance, and documentation standards.
- • Collaborate with data analysts, architects, and DevOps teams in a cloud-native
- environment.
Requirements
- Bachelor’s or master’s degree in computer science, Data Engineering,
- Information Systems, or a related field.
- • 4+ years of experience in data engineering roles using Azure and Snowflake.
- • Strong experience with Azure Cloud Platform services.
- • Proven expertise in Azure Data Factory (ADF) for orchestrating and automating
- data pipelines.
- • Proficiency in SQL for data analysis and transformation.
- • Hands-on experience with Snowflake and SnowSQL for data warehousing.
- • Practical knowledge of DBT (Data Build Tool) for transforming data in the
- warehouse.
- • Experience working in cloud-based data environments with large-scale datasets.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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