Senior Data Engineer at GE Healthcare

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, TechnologyIndustries

Requirements

Bachelor's Degree in computer science or equivalent with minimum 5+ years of hands-on experience
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
Exposure to handling enterprise ERP and CRM data
Knowledge of industrial applications in a commercial/finance/manufacturing settings
Exposure to finance and accounting data domains
Ability to partner with other team members to understand project objectives and resolve technical issues
Ability to communicate project status or challenges in a clear and concise manner to cross team members
Ability to drive technical solutions to meet business outcomes

Responsibilities

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
Develop, test and implement data engineering solutions to generate analytical and reporting solutions
Analyze and prepare the data needed for data science based outcomes
Manage and maintain metadata data structures
Provide necessary support for post-deployment related activities when needed

Skills

Python

SQL

AWS

Redshift

Glue

RDS

Step Functions

SageMaker

Kinesis

ETL

Data Profiling

Data Modeling

Metadata Management

Unix

GE Healthcare

Healthcare technology and data analytics provider

About GE Healthcare

GE Healthcare provides a range of healthcare technologies and services aimed at improving patient care. Its main products include imaging systems, mobile diagnostic devices, patient monitoring solutions, and advanced software for data analysis. These products help medical professionals make informed decisions and enhance the efficiency of healthcare delivery. Unlike many competitors, GE Healthcare invests significantly in research and development, allocating $1 billion each year to innovate and enhance its offerings. The company’s goal is to support healthcare providers in delivering better patient outcomes, as evidenced by its technology supporting over 300,000 patients daily and managing 2 billion patient scans each year.

Chicago, IllinoisHeadquarters

1892Year Founded

N/ACompany Stage

Data & Analytics, HealthcareIndustries

10,001+Employees