About the role

What will you do at Cognizant?

Roles and Responsibilities Cloud & IoT Solutions Implementation (50%25) • Design and implement secure & scalable cloud-native architectures (Microservices, Serverless, Container) using comprehensive AWS stack • Build end-to-end IoT solutions from device connectivity through data analytics • Develop real-time streaming data pipelines from hardware devices and sensors • Design and implement time-series database solutions and data engineering frameworks • Create robust proof-of-concepts (POCs) from ground-up using AWS services Big Data & Analytics Platform Development (25%25) • Implement and optimize big data solutions using Amazon Kinesis, Glue, EMR, Redshift, and Timestream • Design data lakes and warehouses for massive IoT data ingestion and analysis • Build real-time analytics dashboards and reporting frameworks • Optimize query performance and data processing workflows to match business needs • Develop data governance and security frameworks aligning with enterprise guidelines AI/ML Implementation & Innovation (15%25) • Lead implementation of AI-driven solutions for smart grid applications • Develop predictive analytics and anomaly detection systems for grid operations working with Data Scientists • Deploy, optimize and integrate Generative AI, machine learning, deep learning, and natural language processing models for high value use cases • Prototype AI solutions using AWS AI/ML services (SageMaker, Bedrock, etc.)

Technical Leadership & Mentoring (10%25) • Guide and mentor junior developers and team members • Lead technical design reviews and architecture decisions • Drive best practices for cloud development and DevOps methodologies • Collaborate with cross-functional teams to translate business requirements into technical solutions • Champion bias-for-action culture while maintaining high technical standards Basic Qualifications AWS cloud services ecosystem (EC2, Lambda, IoT Core, Kinesis, S3, DynamoDB, Redshift, Glue, RDS, Bedrock etc.)

Experience with Programming languages (Python, Java, C#, Go, JavaScript/TypeScript) AWS AI/ML services (SageMaker, Bedrock, Comprehend, Rekognition) Big data technologies (Amazon EMR, Redshift, Spark, Hadoop) Deploying machine learning models, deep learning algorithms IoT knowledge including device connectivity, protocols, and data ingestion Real-time streaming data processing and analytics Time-series databases (Amazon Timestream, InfluxDB, or similar) Data engineering and ETL/ELT pipeline development Experience with SonarQube IoT platforms and edge computing solutions Industrial communication protocols (MQTT, OPC-UA, Modbus, DNP3) Containerization and orchestration (Docker, Kubernetes, ECS) Please note, this role is not able to offer visa transfer or sponsorship now or in the future

Which skills does this role require?

AWS Cloud ServicesProgramming LanguagesAI/ML ServicesBig Data TechnologiesIoT KnowledgeReal-Time Streaming Data ProcessingTime-Series DatabasesData EngineeringETL/ELT Pipeline DevelopmentSonarQubeIoT PlatformsIndustrial Communication ProtocolsContainerizationOrchestrationAWSCloudIoTMicroservicesServerlessContainerData AnalyticsReal-Time StreamingData PipelinesTime-Series DatabaseBig DataAmazon KinesisGlueEMRRedshiftTimestreamAIMachine LearningDeep LearningNatural Language ProcessingSageMakerBedrockData GovernanceSecurity FrameworksDevOpsDockerJavaScriptTypeScriptPythonJavaC#KubernetesSparkLLMsPrototyping

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