Data Engineer

Company Description

Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology _ with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch. The Lincolnton, NC Conversion, Customizing and Packaging Center is located approximately 30 miles from Charlotte. The facility employs just under 500 full time associates in a 5-shift operation, which encompasses 235,000 sq ft. along with 12,000 skus. In addition to the conversion, customizing and packaging activities, abrasives are now a big part of our power tool accessory business. ISO certified, our associates engage in BPS, CIP and 5S . By choice, we are committed to a diverse workforce - EOE/Protected Veteran/Disabled

Job Description

Database and server administration including, but not limited to developing data pipelines for data extraction, transformation, and integration, as well as their respective storage, in a robust and sustainable architecture.  Provides technical assistance and troubleshooting support of server and database – related topics.

Primary Duties and Accountabilities

• Role will be responsible for core data ETL across the organization.
• Use SQL to extract custom data sets from enterprise-wide data lakes, deploy them as data cubes which can be accessed via spreadsheets, Power BI or other analytical platforms.
• Effectively engage with multiple stakeholders across manufacturing, technical functions, controlling and IT teams.
• Clean and transform extracted data by handling missing values and inconsistencies,
• Perform data aggregation, analysis, and transformation using statistical methods and data manipulation tools.
• Ensure data integrity and security.
• Collaborate with database administrators and engineers to optimize data storage and access.
• Actively seek standardization and automation, apply, and implement best practices across finance functions to streamline the entire analytics process.

Qualifications

Basic Qualifications:

• Education: Bachelor's or Master's degree in Computer Science, Electric Engineering, other Engineering discipline or foreign equivalent
• 3+ years of experience with building data pipelines within a Cloud or Cloud-hybrid setup; in-depth understanding of relational database systems (e.g. Oracle, MS SQLServer).
• 3+ years of experience with distributed computing frameworks (e.g. k8s, Spark)
• 3+ years of experience in object-oriented software development, (e.g. Python, Java, or Go).
• 2+ years of experience with Linux.

Preferred:

• Education: successfully completed Master's degree in Computer Science or other engineering discipline
• Experience with recent non-relational storage technologies (NoSQL and distributed)
• Experience with workflow automation tools (e.g. Jenkins, Ansible)
• Experience with Nexeed MES Platform
• Experience with various messaging systems (e.g. Kafka)
• Experience in designing data models and choice of respective data formats
• Experience with in-vehicle data collection skills, structured and analytical connectivity

Additional Information

All your information will be kept confidential according to EEO guidelines.