Big Data Engineer
Business Unit: Customer Services
Requisition Number: 239575
Primary Location: United States-Georgia-Atlanta
Assignment Category: Full-time regular
Experience Level: Mid level
Education Required Level: Master's Degree
Travel Required: No
Siemens is a global technology powerhouse that has stood for engineering excellence, innovation, quality, reliability and internationally for more than 165 years. As a global technology company, Siemens is rigorously leveraging the advantages that this setup provides. To tap business opportunities in both new and established markets, the Company is organized in eight Divisions: Power and Gas, Power Generation Services, Energy Management, Building Technologies, Mobility, Digital Factory, Process Industries and Drives, and Financial Services.
Committed to the safe and reliable transportation of people and goods by rail and road, Siemens Mobility designs and manufactures across the entire spectrum of rolling stock, including commuter and regional passenger trains, light rail and streetcars, metros, locomotives, passenger coaches, and high-speed trainsets. In the U.S., Siemens is providing rail vehicles, locomotives, components and systems to more than 25 agencies in cities such as D.C., New York, Boston, Sacramento, San Diego, and St. Louis.
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Siemens US Talent Acquisition
As our Big Data Engineer for Digital Services you have the opportunity to co-create innovative data-analytics solutions for our rail customers with rolling stock assets, infrastructure assets, and rail asset management systems. The development and production of advanced analytical solutions and machine learning algorithms will be driven by you in close collaboration with a global team of data scientists and platform engineers. In this exciting role you will be able to collect requirements, drive the creation of proof-of-concepts and prototypes, create end-to-end analytics applications to deliver tangible value to our customers, and thus drive the growth of digital services in the North American market.
This position enjoys mentoring of junior staff, commits to agile software development, and reports to the Lead Data Scientist, Digital Rail Services, North America.
Collaborates closely with a global team of data scientists, engineering teams, solution architects, platform developers to develop innovative data-analytics prototypes and production solutions
Aggregates cloud-computing knowledge and is therefore a key enabler for our data scientists
Collaborates with the global platform engineering team to collect and communicate solution requirements
Organizes the development team and its solutions using agile software development
Is eager and self-driven to learn new services and stay on top of the latest trends in AWS cloud computing
Required Knowledge/Skills, Education, and Experience
- Bachelors or Master’s degree in applied computer science or comparable degree, qualified IT specialist with several years of professional experience, or comparable qualification
5 years of experience in professional software engineering
Proven experience in cloud-computing environments, either Amazon Web Services AWS or Google Cloud Platform
Demonstrably strong experience with programming languages Python, Java, or Scala.
Proven experience with large-scale data infrastructure, data processing, continuous integration and continuous delivery CI/CD
Experience in agile software development
Committed to travel to our customers in the US (10%)
Preferred Knowledge/Skills, Education, and Experience
- PhD in applied computer science or comparable degree
- Preferred experience with video analytics and image processing
- Experience with modern big data technologies like Hadoop, MapReduce, Kafka, MQTT, Spark, MQTT etc
Experience with machine-learning libraries or frameworks like TensorFlow, Keras, scikit-learn, PyTorch, MXNet
Creativity and lateral thinking for feature generation in the data