Bosch Group

Data Engineer - TEF

Job description

Company Description

Bosch Charleston is a part of a global network with close to 400,000 associates who make products that are “Invented for Life.”

The Bosch Charleston plant has a long history in the Lowcountry and was established in 1974. We Drive. to provide a safe and inspiring environment for our associates. We make a difference and delight our global customers by creating state of the art products.

Over the past five years we have contributed over 1 million USD to Science, Technology, Engineering and Math (STEM) and environmental organizations in the Lowcountry through the Bosch Community Fund. Additionally, Bosch Charleston works closely with our partners to support these initiatives through volunteerism. There are many opportunities to get involved and we hope you will join us as we make a difference in the Lowcountry.

BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives

  • FIRST Robotics (For Inspiration and Recognition of Science and Technology)
  • AWIM (A World In Motion)

Job Description

Data Engineer is responsible for providing data to end users by creating and maintaining data pipelines allowing them to do data analytics and data mining. This includes working with data warehouses, data lakes and cloud base environments.

  • Create and maintain optimal data pipeline architecture.
  • Program and build the infrastructure required for extraction, transformation, and loading of data from a wide variety of data sources using Python, SQL, message brokers and/or MS Azure big data technologies.
  • Assemble large, complex data sets that meet business requirements.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into manufacturing process improvements, operational efficiency and other key performance metrics.
  • Work with manufacturing engineers to assist with data-related technical issues and support their data infrastructure needs.
  • Work with data and analytics experts to strive for greater functionality in our data systems.
  • Identify, design, and implement internal process improvements.

  • BS/MS degree in Computer Science, Informatics, Information Systems or another quantitative field.
  • Build processes supporting data transformation and data structures.
  • Ability to manipulate, process and extract value from large disconnected datasets.
  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
  • Experience with cloud environment Azure and Databricks.
  • Experience with streaming tools: InfluxDB, Grafana, etc.
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with PySpark or Scala, and Python.
  • Experience with relational SQL databases: Oracle, etc.
  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with datasets.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Frequent interaction written and verbal with Manufacturing Engineering, Process, Manufacturing Operations, Logistics and Quality
  • Occasional written and verbal interaction with Financial Department and Lead Plant counterparts

Bonus skills:

  • Nexeed MES
  • Tableau
  • PowerBI

Additional Information

By choice, we are committed to a diverse workforce – EOE/Protected Veteran/Disabled.

Please let the company know that you found this position on this Job Board as a way to support us, so we can keep posting cool jobs.

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