IT Data Engineer (Hybrid)
New Jersey, Allendale 2 Pearl Ct
Applications have closed
As an IT Data Engineer is responsible for developing robust, scalable, high-performance data pipelines enabling the organization to extract valuable insights from large and complex datasets. In this role, you 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. You will also 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.
**This position is a hybrid role, requiring 3 days per week on-site at our Allendale, NJ office.**
Who we want:
Curious learners. People who seek out cutting-edge research and information to expand and enhance their ability to develop new ideas into reality.
Data translators. Highly effective communicators who can transform data findings into recommendations to compose reports and executive level presentations.
Self-directed initiators. People who take ownership of their work and need no prompting to drive productivity, change, and outcomes.
Strategic thinkers. People who enjoy analyzing data or trends for the purposes of planning, forecasting, advising, budgeting, reporting, or sales opportunities.
What you will do:
Data Engineering:
- 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.
- 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.
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.
What you need:
- 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.
- Strong familiarity with Azure and Databricks, and proficiency in SQL required.
- Familiarity with big data and advanced data science technologies preferred.
- Ability to analyze business situations preferred.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Azure Big Data Computer Science Databricks Data pipelines Data quality Data warehouse ELT Engineering ETL Pipelines Prompt engineering Research Security SQL
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.