Scalable Data Architect

6 days ago

Malappuram, India beBeeDataEngineering Full time

Job Title: Data Architecture SpecialistWe are seeking a skilled professional to design and develop scalable data pipelines and cloud-based data solutions. The ideal candidate will have strong Python programming skills, expertise in ETL/ELT processes, and deep hands-on experience with AWS cloud services such as S3, Glue, Lambda, Redshift, Kinesis, and DynamoDB.This role requires building serverless data architectures, designing efficient data models, and ensuring robust pipeline performance through monitoring and optimization. The position is open for both full-time and contract engagements within India and can be performed remotely.Key Skills and QualificationsData Engineering & PipelinesETL/ELT pipeline development using PythonData extraction, transformation, and loading into data lakes/warehousesWorkflow orchestration and automationReal-time and batch data processingAWS Cloud ExpertiseS3, Glue, Lambda, Redshift, AuroraKinesis (real-time streaming)DynamoDB (NoSQL databases)AWS serverless architecture designIntegration of AWS managed services for data workflowsServerless & AutomationBuilding event-driven pipelines using AWS LambdaServerless compute optimizationAutomated triggering and orchestration of data processesData ModelingDesigning schemas for relational databases (OLTP/OLAP)NoSQL data modeling and storage optimizationUnderstanding of normalization, partitioning, indexingMonitoring & OptimizationAWS monitoring tools (CloudWatch, CloudTrail)Pipeline performance tuningCost optimization across cloud resourcesCross-Functional CollaborationCross-functional collaboration with analysts, data scientists, and engineering teamsStrong problem-solving, documentation, and communication skillsEducational BackgroundBachelor's degree in Computer Science, Information Technology, Engineering, or related field (preferred)Professional Experience RequirementsProven experience building scalable data pipelines using PythonExperience extracting and transforming data from diverse sources into cloud-based environmentsHands-on experience with AWS services such as S3, Glue ETL, Lambda, Redshift/Aurora, Kinesis, and DynamoDBDemonstrated ability to design and implement serverless architecturesExperience creating event-driven workflows using Lambda and other AWS triggersStrong experience in monitoring, debugging, and optimizing cloud-based data workflowsExperience collaborating across data science, analytics, and engineering teams to deliver complete data solutions

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