Chief Data Pipeline Architect

16 hours ago


mangalore, India beBeeDataEngineer Full time

Job OverviewAs a Data Engineer, you will be responsible for designing and developing scalable data pipelines and cloud-based data solutions. This role requires strong Python programming skills and expertise in ETL/ELT processes.The ideal candidate will have hands-on experience with AWS cloud services such as S3, Glue, Lambda, Redshift, Kinesis, and DynamoDB. They should excel in building serverless data architectures, designing efficient data models, and ensuring robust pipeline performance through monitoring and optimization.This position is open for both full-time and contract engagements, and the position can be performed remotely within India.Required Skills and QualificationsTo succeed in this role, you should possess:Data 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 resourcesCollaboration & CommunicationCross-functional collaboration with analysts, data scientists, and engineering teamsStrong problem-solving, documentation, and communication skillsBenefitsWe offer a competitive compensation package and excellent benefits to our employees including health insurance, retirement savings plan, paid time off, and professional growth opportunities.Professional Experience RequirementsApplicants must have at least three years of relevant work experience, preferably with data engineering tasks.



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