AWS Data Engineer

Job Title : AWS Data Engineer with Strong Python Location : Irvine, CA (Hybrid) Job Type : Contract Job Summary We are seeking an experienced AWS Data Engineer with strong Python development expertise to design, build, and optimize scalable data pipelines and cloud-native data solutions. The ideal candidate will have hands-on experience with AWS data services, ETL development, data modeling, and big data technologies. This role requires close collaboration with Data Architects, Data Scientists, Business Analysts, and cross-functional teams to deliver reliable, high-performance data platforms that support analytics and business intelligence initiatives. Key Responsibilities • Design, develop, and maintain scalable data pipelines using Python and AWS cloud services. • Build and optimize ETL/ELT processes for ingesting, transforming, and loading large-scale datasets. • Develop cloud-native data solutions leveraging AWS services such as S3, Glue, Lambda, EMR, Redshift, Athena, and Step Functions. • Create reusable Python frameworks, libraries, and automation scripts for data processing. • Implement data quality, validation, monitoring, and governance controls. • Optimize data storage, query performance, and pipeline execution efficiency. • Design and maintain data models supporting analytics, reporting, and machine learning workloads. • Collaborate with Data Scientists and Analytics teams to support advanced data initiatives. • Troubleshoot production issues, perform root cause analysis, and implement preventive measures. • Participate in architecture reviews, code reviews, and best practice discussions. • Ensure security, compliance, and scalability of cloud-based data solutions. • Support CI/CD implementation and Infrastructure as Code (IaC) initiatives. Required Qualifications • 7+ years of Data Engineering experience. • 4+ years of hands-on AWS cloud experience. • Strong programming expertise in Python. • Experience building enterprise-scale ETL/ELT pipelines. • Strong SQL development and performance tuning skills. • Experience with cloud-based data warehousing solutions. • Knowledge of data modeling, data governance, and data quality frameworks. • Experience working in Agile/Scrum environments. • Excellent analytical and problem-solving skills. • Strong communication and stakeholder management abilities. Thanks and Regards, Ajay Kumar ajay.k@sitwinc.com LinkedIn: https://www.linkedin.com/in/ajay-k-875ab212a/ Signature IT World Inc.