Responsible for developing, testing and implementing data engineering solutions to generate 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 when needed.
Roles and Responsibilities
In this role, you will:
- 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
- Implement Data Quality (DQ) rules provided
Education Qualification
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 programming languages like Java, Python or NodeJS
- Hands-on experience in writing SQL scripts for Oracle, MySQL, PostgreSQL or Hive
- Experience in cloud native services like - AWS S3, Lambda, Glue, RDS etc.
- Experience with Big Data / Hadoop / Spark / Hive / NoSQL database engines (i.e. Cassandra or HBase)
- Exposure to unstructured datasets and ability to handle XML, JSON file formats
- Exposure to Extract, Transform & Load (ETL) tools like Informatica or Talend
Domain Expertise:
- Exposure to handling machine or sensor datasets from industrial businesses
- Knowledge of for industrial applications in a commercial/finance/industrial/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.
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: 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.
Relocation Assistance Provided: Yes
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 and we work to create a world where healthcare has no limits.
