Staff Data engineer

• 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

Stryker