GE Healthcare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.Job Description
In this role, you will:
Design and build automations and incorporate low code-no code solutions to accelerate development cycle time.
Leverage technical data dictionaries and business glossaries to analyze the datasets.
Perform data profiling and data analysis for any source systems and the target data repositories.
Understand metadata and the underlying data structures needed to standardize the data load processes.
Develop data mapping specifications based on the results of data analysis and functional requirements
Perform a variety of data loads & data transformations using multiple tools and technologies.
Build automated Extract, Transform & Load (ETL) jobs based on data mapping specifications.
Validate the data mapping results and match with the expected results.
Leverage/Implement Data Quality (DQ) rules provided.
Education Qualification:
Bachelor's Degree in computer science or equivalent with minimum 5+ years of hands on experience.
Desired Characteristics
Technical Expertise:
Ability to understand logical and physical data models, big data storage architecture, data modeling methodologies, metadata management, master data management & data lineage techniques.
Hands-on experience in AWS services specially Redshift, Glue, RDS, Step Functions, S3, Sage maker, Kinesis.
Hands-on experience in programming languages like Python. Unix
Hands-on experience in writing SQL scripts for Oracle, MySQL, PostgreSQL.
Experience in handling both Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) data models.
Experience with data warehousing, Big Data. NRT - Kafka.
Exposure to unstructured datasets and ability to handle XML, JSON file formats
Exposure to Extract, Transform & Load (ETL) tools like Matillion Or Informatica.
Exposure or experience in Databricks.
Experience using 'Low code, No code' tools like Microsoft/Github co-pilot.
Domain Expertise:
Exposure to handling enterprise ERP and CRM data.
Knowledge of for industrial applications in a commercial/finance/manufacturing settings.
Exposure to finance and accounting data domains.
Leadership skills:
Partner with other team members to understand the project objectives and resolve technical issues.
Communicate project status or challenges in a clear and concise manner to the cross team members.
Ability to drive technical solutions to meet business outcomes.
Inclusion and Diversity
GE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity.
Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.
#LI-RS1
Relocation Assistance Provided: No
Skills Required
- Bachelor’s degree in computer science or equivalent
- Minimum 5+ years of hands-on experience
- Hands-on experience with AWS services including Redshift, Glue, RDS, Step Functions, S3, SageMaker, and Kinesis
- Hands-on experience with Python and Unix
- Hands-on experience writing SQL scripts for Oracle, MySQL, and PostgreSQL
- Experience with data warehousing and big data
- Experience with Kafka and near-real-time data
- Experience handling XML and JSON datasets
- Exposure to Matillion or Informatica ETL tools
- Exposure to or experience with Databricks
- Experience using low-code/no-code tools such as Microsoft Copilot or GitHub Copilot
- Experience with logical and physical data models, metadata management, master data management, and data lineage
- Experience handling OLTP and OLAP data models
GE Healthcare Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GE Healthcare and has not been reviewed or approved by GE Healthcare.
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Healthcare Strength — Healthcare coverage is portrayed as comprehensive, including medical, dental, and vision options with HSA-eligible choices and preventive care coverage. Mental health and well-being support programs are also emphasized as part of the overall package.
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Retirement Support — Retirement support is described as meaningful, with a 401(k) match and additional programs such as student-loan matching in some descriptions. Legacy pension and retiree medical obligations for certain closed groups also signal continued support for long-tenured populations.
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Strong & Reliable Incentives — Variable and role-linked earning opportunities appear attractive in some job families, including high on-target earnings potential in certain sales roles. Additional role-based perks like company cars and travel-related reimbursements further increase the perceived value of total rewards in those positions.
GE Healthcare Insights
What We Do
Every day millions of people feel the impact of our intelligent devices, advanced analytics and artificial intelligence. As a leading global medical technology and digital solutions innovator, GE Healthcare enables clinicians to make faster, more informed decisions through intelligent devices, data analytics, applications and services, supported by its Edison intelligence platform. With over 100 years of healthcare industry experience and around 50,000 employees globally, the company operates at the center of an ecosystem working toward precision health, digitizing healthcare, helping drive productivity and improve outcomes for patients, providers, health systems and researchers around the world. We embrace a culture of respect, transparency, integrity and diversity.
