Stryker Corporation is looking to solve data engineering problems within the Customer Intelligence portfolio to meet defined timelines and deliverables.
Requirements
- Competency in at least one programming language used in data engineering (e.g., SQL, Python, Spark).
- Familiarity with ETL/ELT processes, pipeline creation, and data warehouse architecture.
- Understanding of object-oriented programming and data structures.
- Basic knowledge of cloud platforms and tools (e.g., Azure, AWS, GCP).
- Exposure to Agile/DevOps practices and version control tools (e.g., GitHub, GitLab).
- Familiarity with infrastructure-as-code and cloud-native tools for data storage and distributed computing.
Responsibilities
- Assist in executing data engineering projects within the Customer Intelligence portfolio to meet defined timelines and deliverables.
- Gather and document requirements for new data transformations and ensure alignment with business objectives.
- Build and maintain ETL pipelines based on user and project specifications to enable reliable data movement.
- Develop and update technical documentation for key systems and data assets.
- Work with the Data Governance team on developing data dictionaries and other data quality tools.
- Support problem-solving by performing root cause analysis and evaluating potential solutions against requirements.
- Monitor and optimize workflows and pipelines for efficiency and scalability.
Other
- Bachelor’s degree in Computer Science, Data Analytics, Mathematics, Statistics, Data Science, or related field.
- Travel Percentage: 10%
- Master’s degree in Computer Science.
- Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status.
