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You will be updated with latest job alerts via emailRoles and Responsibilities
In this role you will:
In Depth knowledge and hands on exp using python (pyspark) on real time data streaming technology - Kafka spark lambda
Experience in building data processing pipelines on AWS using AWS MSK EMR (Spark Streaming) Dynamo DB Lambda Glue Athena
Knowledge of device data ingestion and processing using AWS IoT core IoT rules and event bridge
Design implement and optimize Kafka and Spark based NRT data processing pipelines
Expertise in building reusable cloud native scalable and reliable frameworks and tools
Design and implement reusable and cost-effective solution to meet functional and nonfunctional requirements like availability latency fault tolerance
Architectural & Design Skills
Designingscalable data pipelinesfor IoT telemetry
Real-time vs batch processingarchitecture
Data governancesecurity andcompliance
Cost optimizationstrategies on AWS
Technical Skill Set
Cloud & Infrastructure (AWS)
AWS IoT CoreAWS Greengrass for IoT device integration
Amazon EMR for big data processing using Spark/Hadoop
AWS LambdaStep Functions for serverless workflows
S3DynamoDBRDS for data storage and management
IAMKMSCloudWatchCloudTrail for security and monitoring
Big Data & Analytics
Apache Spark&PySpark for distributed data processing
Data ingestionusingKinesisKafka orAWS IoT Analytics
ETL pipeline designand optimization
Data lake architectureusing S3 Glue Athena
Programming & Scripting
Python core language for scripting automation and data processing
Boto3 AWS SDK for Python
SQL for querying structured data
Shell scripting for automation on EMR or EC2
DevOps & CI/CD
Terraform / CloudFormation for infrastructure as code
GitJenkinsCodePipeline for version control and deployment
Docker for containerization of Spark jobs or microservices
Education Qualification
Bachelors degree in engineering with minimum 5 years of experience in relevant technologies.
Technical Expertise:
Strong knowledge of software design and coding principles
Experience working in an Agile environment
Familiarity with versatile implementation options
Demonstrates knowledge on technical topics such as caching APIs data transfer scalability and security
Experience in building and managing big data solutions Data Lakes Data Warehouses Data Integration Data Migration and Business Intelligence/Artificial Intelligence solutions on the Cloud (AWS)
Experience in architecting and implementing data mesh and data fabric solutions specifically leveraging AWS services including designing domain-oriented data architectures data products and data access patterns in a multi-tenant environment.
Expertise in API integration Subscription based APIs Multi tenancy enabling efficient data exchange and synchronization between various applications and platforms.
Familiarity with advanced data management principles and best practices within AWS environments including data as a service data modelling data lineage data cataloguing and metadata management.
Develop and maintain data models schemas and databases while ensuring high performance security and reliability in a global context.
Expertise in data modelling database design principles and best practices for data management within a global context.
Business Acumen:
Demonstrates the initiative to explore alternate technology and approaches to solving problems
Skilled in breaking down problems documenting problem statements and estimating efforts
Has the ability to analyze impact of technology choices
Skilled in negotiation to align stakeholders and communicate a single synthesized perspective to the scrum team. Balances value propositions for competing stakeholders.
Demonstrates knowledge of the competitive environment
Demonstrates knowledge of technologies in the market to help make buy vs build recommendations scope MVPs and to drive market timing decisions
Leadership:
Influences through others; builds direct and behind the scenes support for ideas. Pre-emptively sees downstream consequences and effectively tailors influencing strategy to support a positive outcome.
Able to verbalize what is behind decisions and downstream implications. Continuously reflecting on success and failures to improve performance and decision-making.
Understands when change is needed. Participates in technical strategy planning.
Personal Attributes:
Able to effectively direct and mentor others in critical thinking skills.
Proactively engages with cross-functional teams to resolve issues and design solutions using critical thinking and analysis skills and best practices.
Finds important patterns in seemingly unrelated information.
Influences and energizes other toward the common vision and goal.
Maintains excitement for a process and drives to new directions of meeting the goal even when odds and setbacks render one path impassable.
Innovates and integrates new processes and/or technology to significantly add value to GE Healthcare.
Identifies how the cost of change weighs against the benefits and advises accordingly.
Proactively learns new solutions and processes to address seemingly unanswerable problems.
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 youd expect from an organization with global strength and scale and youll be surrounded by career opportunities in a culture that fosters care collaboration and support.
#LI-RS1
#Hybrid
Relocation Assistance Provided: No
Full-Time