Staff Data engineer
3 weeks ago
Why engineering at Stryker?
At Stryker we are dedicated to improving lives, with a passion for researching and developing new medical device products. As an engineer at Stryker,you will be proud of the work that you will be doing, using cutting-edge technologies to make healthcare better.Here,you will work in a supportive culture withotherincredibly talented and intelligentpeople, creating industry-leading medical technology products. You will also have growth opportunities as we have a culture that supports your personal and professional development.
Need another reason to apply? Check out these 8 reasons to join Stryker's engineering team:
Staff Data Engineer, Advanced Operations
Position Summary
We are seeking a highly motivated and experienced Data Engineer to join our dynamic team. As a key member of our team , you will be responsible for establishing and optimizing data pipelines to bring together information from different source systems , ensuring the seamless integration of equipment and systems into our network, and driving efficiency in data operations. The ideal candidate will have expertise in Azure resources, Highbyte Intelligence Hub , experience working with REST API’s and configuration of databases, such as SQL.
What you will do
- Develop and implement data pipelines, connecting, collecting, and storing data in usable formats for downstream applications.
- Design and develop Azure solutions and virtual applications.
- Setup and manage MQTT data brokers ensuring efficient and secure communication through the MQTT protocol.
- Configure front end dashboard views for visualization of data.
- Network Integration and Security
- Collaborate with IT teams to integrate equipment into the network following Stryker security procedures.
- Configure network cards, switches, and establish firewall rules to ensure secure and reliable data transfer.
- Collect data into a structured functional and semantic unified name space.
- Learn and adopt new tools and techniques to increase performance, automation, and scalability.
- Collaborate with a cross functional team to achieve project goals and deadlines.
- Lead in the validation of tools used in the data engineering pipelines and processes.
- Configure and manage database for normalized and contextualized storage of data from a wide range of data types.
- Bachelor’s degrees in Computer Science or related engineering discipline with 4 or more years’ experience or a related master’s degree.
- Proficient with scripting languages such as Python, Java R and SQL programming languages.
- Proficient in the use of ETL tools and REST oriented API’s
- Good understanding of data lakes/data warehouse solutions such as Hadoop/Snowflake
- Familiarity with the HighByte platform preferred
- Familiarity with scrum/agile methodologies
- Familiarity with unified name space approach to data sharing.
- Excellent Interpersonal Skills - able to express ideas and collaborate effectively with multidisciplinary teams. Be open minded with the ability to recognise good ideas .
- Innovative thinker - should be able to envisage new and better ways of doing things.
- Excellent analytical skills, ability to plan, organise and implement concurrent tasks.
- Experience with Industrial Controls
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