Principal Data Engineer
hace 4 semanas
**Why join Stryker?**:
Our total rewards package offering includes bonuses, healthcare, insurance benefits, retirement programs, wellness programs, as well as service and performance awards - not to mention various social and recreational activities, all of which are location specific.
**Know someone at Stryker?**:
**Who we Want**:
- ** Dedicated achievers.** People who thrive in a fast-paced environment and will stop at nothing to ensure a project is complete and meets regulations and expectations.
- ** Analytical problem solvers.** **People who go beyond just fixing to identify root causes, evaluate optimal solutions, and recommend comprehensive upgrades to prevent future issues.
- ** Goal-oriented**:Keeping the customer and requirements squarely in focus, people who deliver safe and robust solutions.
- ** Detail-oriented process improvers.** Critical thinkers who naturally see opportunities to develop and optimize work processes - finding ways to simplify, standardize and automate
Job description:
The Principal Data Engineer will grow Stryker’s capabilities in analytics. This position will be responsible for discovering information hidden in data to derive value for finance services, improve decision making, and build data solutions to enhance outcomes and economic value and provide feedback to data sources owners to improve datasets.
This position will lead the design, architecture and development for Finance Services optimized data pipelines and databases. It will develop and define test/validation plans for large-scale data processing pipelines, optimize by improving reliability, scalability, efficiency, and data quality. The development of data lake house for Finance Services will be under responsibility of this position.
Data engineer Process improvement by automating query development cycle, SDLC. Contributing on unit testing for query development
This position will be responsible for providing the organization with high-quality data products in the form of production ready datasets. Support data automation projects to discover tasks that can be automated. Data prepared for predictive and prescriptive modeling, adding machine learning responses within the datasets for data visualization.
**What you will do**:
- Guide Global Analytics Data Analysts to develop the optimal architectures, solve high complexity data challenges, and coach team members in the industry top edge best practices.
- Support Global Analytics Manager to develop global portfolio of analytics projects.
- Solve complex issues with large, ambiguous datasets.
- Develop cloud data-based technologies and innovative solutions to add value to all functions around Stryker Corporation.
- Design and Deploy data pipelines using cloud technologies such as Azure SQL, Azure Data factory and others.
- Design and develop REST / SOAP APIs to ingest data
- Integrate and consolidate multiple datasets. Find hidden patterns in data, cleaning.
- Performance optimization.
- Data Architecture
- Identify and support business needs and recommend solutions that integrate with existing data and technical solutions.
- Effectively communicate and present complex analytics to stakeholders and customers. Using Power BI related tools to analyze data and report out results for processes improvements.
- Design and implement automated reporting dashboards to track Key Performance Indicators (KPIs) across multiple segments of the business. Implement connections to automated data sets.
- Identify data improvements and suggest recommendations to influence and close data gaps.
- Support development and update of internal procedures and documentation that encompass the full lifecycle of data engineering related activities.
- Understand business objectives for data analytics and ensure adherence to established business and data governance processes.
- Support CI/CD tools integration/ operations/ change management.
- Continuously mentoring other engineers or peers.
**What you need**:
- Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, Economics, Physics, or related fields.
- Fluent spoken and written English. Any other language is a plus.
- Preferred: GCP, AWS, AZURE platforms certifications. Power Bi, Tableau reporting certifications.
**Qualifications & experience**:
- 6+ software engineering experience or equivalent (e.g., CS undergrad + some work), with incremental responsibilities.
- Demonstrated experience developing process improvement, automation, or data analytics solutions for Finance organizations.
- Demonstrated experience as team leader or technical leader of groups developing process improvement, automation, or data analytics solutions.
- Demonstrated experience in connecting and automating to multiple ERPs using industry available tools (SAP HANA, ODBC, APIs, Power Platform, python scripting).
- Working knowledge of business intelligence and analytics platforms (e.g. Power BI, Tableau, etc).
- Working knowledge of at
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