Job Description Summary

Responsible for managing business critical data engineering processes and data architecture solutions in order to enable analytical and reporting solutions. Responsible for analyzing and preparing the data needed for data science based outcomes. Also responsible for managing and maintaining metadata data structures besides providing necessary support for post-deployment related activities. Accountable to deliver results in a timely manner using agile methodologies.

Job Description

Roles and Responsibilities

In this role, you will:

• Design & build technical data dictionaries and support business glossaries to analyze the datasets

• Perform data profiling and data analysis for source systems, manually maintained data, healthcare industry standard messages

• Design & build both logical and physical data models for both Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) solutions

• Develop and maintain data mapping specifications based on the results of data analysis and functional requirements

• Build a variety of data loading & data transformation methods using multiple tools and technologies.

• Design & build automated Extract, Transform & Load (ETL) jobs based on data mapping specifications

• Manage metadata structures needed for building reusable Extract, Transform & Load (ETL) components.

• Analyze the impact of changes to downstream systems/products and recommend alternatives to minimize the impact.

• Design and build data warehouses and data marts

Minimum Qualifications

• Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with minimum 6 years of relevant experience

• Exposure to industry standard data modeling tools

• Exposure to Extract, Transform & Load (ETL) tools like SSIS or Azure Data Factory

• Exposure to industry standard BI tools like Power BI and Tableau

• Hands-on experience in writing SQL scripts for SQL Server, MySQL, PostgreSQL or HiveQL

• Exposure to unstructured datasets and ability to handle Avro, Parqueet, JSON file formats

• Conduct exploratory data analysis and generate visual summaries of data. Identify data quality issues proactively.

Desired Qualifications:

• Knowledge of for industrial applications in healthcare settings.

• A good team player with self-driven execution capabilities.

• Ability to communicate ideas clearly with cross teams.

• Ability to showcase teamwork skills to achieve common goals, provide resolutions and share ideas.

• Demonstrate the presentation and influencing skills

Eligibility Requirements

• GE HealthCare will only employ those who are legally authorized to work in the United States for this opening.

Work/Life Balance

Our team puts a significant value on work-life balance. Having a healthy balance between your personal and professional life is crucial to your happiness and success here. We don’t focus on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.

Mentorship & Career Growth

We maintain diverse engineering, and leadership perspectives and backgrounds across technology and beyond. Our employees are excited to share their experiences and mentor more junior engineers. Team members are highly encouraged to set up mentorship relationships with seasoned engineers, not only in our team, but also across the broader GE Healthcare population.

Inclusive Team Culture

Here at GE HealthCare, we embrace our differences. We are committed to furthering our culture of inclusion. We have many employee-led affinity groups, innovative benefit offerings, and encourage ongoing learning experiences.

While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.

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Additional Information