Senior AWS Data Engineer

Senior AWS Data EngineerMcKinney, TX12+ Months ContractHybrid 3 daysF2F InterviewWe’re hiring a Senior AWS Data Engineer with 8+ years of experience and a Master’s degree in Computer Science or a related field.At least 5+ Years in building and optimising robust data pipelines using SQL, Window Functions, Stored Procedures, and Python, incorporating multithreading for enhanced efficiency.Utilise 3+ years of experience with AWS tools, including Glue ETL Jobs, Lambda, S3, and Redshift, to manage large-scale data workflows.Extensive experience with AWS services, particularly Redshift (cluster management, cost optimization) and Lambda (serverless workflows).Must excel in ETL development, building scalable pipelines for structured/semi-structured data from diverse sources like APIs and databases.Expert in writing and optimizing complex SQL queries, including window functions, for high-volume data processing.Proficient in Python (boto3, pandas, UDFs) and PySpark for dynamic data frames and pipeline orchestration.Strong expertise in CDK for infrastructure-as-code to deploy secure, scalable systems.Experience in performance tuning and automating failure notifications (CloudWatch, SNS) is required.Seeking self-driven professionals to architect production-ready data pipelines. Join us to drive innovation in cloud-native data engineering!