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Data Engineer
hace 3 meses
About PACCAR
PACCAR, Inc.
is a Fortune 500 company established in 1905 and is recognized as a global leader in the commercial vehicle, financial, and customer service fields.
PACCAR is a global technology leader in the design, manufacture, and customer support of high-quality light-, medium- and heavy-duty trucks under its internationally recognized brands Kenworth, Peterbilt and DAF nameplates. PACCAR designs and manufactures advanced diesel engines and provides customized financial services, information technology and truck parts related to its principal business.
Your next career move is waiting at PACCAR whether you want to design the transportation technology of tomorrow, support the staff functions of a dynamic, international leader, or build our excellent products and services.
The Role
Does empowering teams to make data driven decisions excite you? Do you wake up in the morning wondering what possibilities could be unlocked with more data? PACCAR is looking for a data engineer to join the team.
About the Team
As a Data Engineer, you will work with a highly celebrative team of data engineers with different backgrounds.
This data engineering team focuses on solving PACCAR's most important challenges by making data available to our data science and analytics teams.
As part of a diversified global Fortune 500 company, the data engineering team works on a huge variety of projects, from building data ingestion pipelines to data quality products, data integration services and data platforms.
Come join this dynamic, growing, and pioneering teamResponsibilities:
- Build and support automated data pipelines from a wide range of data source
- Working on ways to automated and improve development and release processes
- Contribute to overall architecture, framework, and design patterns to store and process high data volumes
- Develop solutions to measure, improve, and monitor data quality based on business requirements
- Proactively support product health by building solutions that are automated, scalable, and sustainable be relentlessly focused on minimizing defects and technical debt
- Provide postimplementation production support for data pipelines
Required Experience & Skills
- 3+ years of experience in a data engineering role
- 2+ years of experience with Cloud and related services (e.g., AWS, Google, Snowflake)
- Handson experience with ETL tools and techniques such as Apache Airflow
- Strong understanding of Python and libraries such as Pandas, Flask, and Boto
- Knowledge of and experience with RDBMS platforms, such as MS SQL Server, Oracle, DB2, MySQL, Postgres
- Experience participating in projects in a highly collaborative, multidiscipline team environment
Education (List required and/or preferred education)
- Bachelors' degree in Computer Science, Informatics, or a related field required
- Masters' degree in Computer Science preferred
Physical Demands
- Sitting and standing for prolonged periods of time
- Lifting up to 55 pounds
- Team lifting large objects such as servers using lifting equipment
