Senior Data Engineer: RemotePay range: $70/hr. - $75/hr. on w2 Note: Temp to hireMust Have:AWS - CloudFormationAWS - DynamoAWS - LambdaAWS - S3AWS - SNS/SQSAWS Step FunctionBI ToolGen AINode.js DevelopmentPythonRedShift/SQLKey ResponsibilitiesDefine the end-to-end testing scope based on solution architecture and project documentationDesign and implement a comprehensive testing strategy and plan aligned with organizational QA standardsDevelop and maintain test scripts and frameworks for the Redshift serverless platformPerform testing across key technologies, including:AWS RedshiftAWS DMS (Data Migration Service)AWS GluePySpark DeequEvent BridgeData LakesPython-based data pipelinesApache Airflowdbt (data build tool)Build and implement automated testing solutions to ensure:End-to-end data validationData ingestion accuracyTransformation logic integrityData pipeline reliabilityConduct test coverage analysis and ensure adequate validation across all data engineering workflowsPrepare and manage test dataReview and provide feedback on:Solution architectureData modelsDesign and technical documentationCollaborate with cross-functional teams (Data Engineering, BI, DevOps, Product) to:Identify testing impactsMitigate risksEnsure high-quality deliverablesRequired QualificationsProven experience in data engineering testing / data QA / ETL validationStrong hands-on experience with AWS data services (Redshift, Glue, DMS)Proficiency in Python for test automation and validationExperience with Airflow and orchestration testingHands-on experience with dbt and data transformation validationFamiliarity with CDK for infrastructure validationExperience in BI testing in Quicksuite will be highly beneficialExperience with data quality tools such as PySpark Deequ or similarStrong understanding of:Data warehousing conceptsETL/ELT pipelinesData validation techniques (schema, reconciliation, anomaly detection)Preferred QualificationsExperience designing enterprise-level test strategies for data platformsKnowledge of CI/CD pipelines for data and test automationExperience working in Agile / Scrum environmentsFamiliarity with data observability frameworks