Iot Data Architect

GE Healthcare Healthcare Information Technology Category Digital Technology / IT Mid-Career Job Id R4026343 Relocation Assistance No Location Bengaluru, Karnataka, India, 560066 **Job Description Summary** 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. Roles 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** - Designing scalable data pipelines for IoT telemetry - Real-time vs batch processing architecture - Data governance, security, and compliance - Cost optimization strategies on AWS **Technical Skill Set** **Cloud & Infrastructure (AWS)** - AWS IoT Core, AWS Greengrass - for IoT device integration - Amazon EMR - for big data processing using Spark/Hadoop - AWS Lambda, Step Functions - for serverless workflows - S3, DynamoDB, RDS - for data storage and management - IAM, KMS, CloudWatch, CloudTrail - for security and monitoring **Big Data & Analytics** - Apache Spark & PySpark - for distributed data processing - Data ingestion using Kinesis, Kafka, or AWS IoT Analytics - ETL pipeline design and optimization - Data lake architecture using 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 - Git, Jenkins, CodePipeline - for version control and deployment - Docker - for containerization of Spark jobs or microservices **Education Qualification** Bachelor’s degree in engineering with minimum 5+ years of experience in relevant technologies. **Desired Characteristics** **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. - 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**: -