Work Flexibility: Onsite
Position summary:
Data Engineer is responsible for developing robust, scalable, high-performance data pipelines enabling the organization to extract valuable insights from large and complex datasets. This role will leverage Azure data services for data integration work, including developing a data model, maintaining a data lake and analytics environment, and writing scripts for data integration and analysis. This role will work closely and collaboratively with Data & Analytics team members to define requirements, mine and analyze data, integrate data from various sources, and deploy high-quality data pipelines to support the analytics needs of different Stryker business divisions and functions.
Essential duties & responsibilities: (detailed description)
- Data Architecture:
- Design, implement, and maintain scalable and efficient data architecture to support business intelligence and analytics needs primarily utilizing Azure, Databricks, and Snowflake technology stack.
- Collaborate with cross-functional teams to understand data requirements and translate them into effective data models.
- Data Pipeline Development:
- Develop and maintain robust ETL/ELT processes to move and transform data from various sources into our data warehouse with key focus on Azure data factory pipelines.
- Optimize and automate data pipelines to ensure high performance, reliability, and data integrity.
- Database Management:
- Manage and optimize database systems, ensuring they meet performance and security requirements.
- Implement data retention policies and archival strategies.
- Data Quality and Governance:
- Establish and enforce data quality standards and best practices.
- Work closely with data stewards to ensure data accuracy, completeness, and consistency.
- Performance Tuning:
- Monitor and tune database and query performance for optimal efficiency.
- Troubleshoot and resolve issues related to data processing and storage.
- Collaboration:
- Collaborate with data scientists, analysts, and other stakeholders to understand their data needs and provide solutions.
- Work closely with the IT team to integrate data engineering solutions into overall IT architecture.
- Documentation:
- Document data engineering processes, workflows, and solutions.
- Create and maintain documentation for data dictionaries, data lineage, and metadata.
Education & special trainings:
- Bachelor's Degree from an accredited university required, Bachelor’s degree in the areas of Computer science, Engineering, Information Systems, Business, or equivalent field of study preferred.
- Azure based data engineering certifications preferred.
Qualifications & experience:
- Minimum 2-4 years of relevant experience required
- Ability to analyze business situations
- Proven experience as a Data Engineer with a strong focus on the Azure, Databricks, and Snowflake data analytics technology stack.
- Proficient in SQL and extensive experience with Azure services, Databricks, and Snowflake.
- Familiarity with big data and advanced data science technologies is a plus.
- Excellent problem-solving and troubleshooting skills.
- Strong communication and collaboration skills.
Travel Percentage: None
What We Do
Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 130 million patients annually. More information is available at www.stryker.com.
Together with our customers, we are driven to make healthcare better.