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Cloud Data Solutions Specialist
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Job OverviewThe Data Engineer will be responsible for designing, developing and optimizing scalable data pipelines and cloud-based data solutions.This role requires a strong foundation in Python programming skills, expertise in ETL/ELT processes and hands-on experience with AWS cloud services such as S3, Glue, Lambda, Redshift, Kinesis and DynamoDB.ETL/ELT pipeline development using PythonData extraction, transformation and loading into data lakes/warehousesWorkflow orchestration and automationReal-time and batch data processingS3, Glue, Lambda, Redshift, AuroraKinesis (real-time streaming)DynamoDB (NoSQL databases)AWS serverless architecture designIntegration of AWS managed services for data workflowsResponsibilities:Building event-driven pipelines using AWS LambdaServerless compute optimizationAutomated triggering and orchestration of data processesDesigning schemas for relational databases (OLTP/OLAP)NoSQL data modeling and storage optimizationUnderstanding of normalization, partitioning, indexingPipeline performance tuningCost optimization across cloud resourcesCross-functional collaboration with analysts, data scientists and engineering teamsStrong problem-solving, documentation and communication skills