AWS Data Engineer

Job Description Benefits:Find out exactly what skills, experience, and qualifications you will need to succeed in this role before applying below.HybridLong TermOpportunity for advancementJob Title: AWS Data Engineer Location: Dallas, TX (Hybrid 3 days per week in-office) Interview Process: In-Person InterviewProfiles Required: 812 Years of Experience Locals & Non-Locals Can Apply Core Skills: Strong AWS Services, Python/PySpark, Advanced SQLSubmission Details: Resume, LinkedIn URL, Work Authorization, Location Details Job DescriptionOur esteemed client is seeking an experienced AWS Data Engineer with strong expertise in ETL testing, cloud migration, and Python programming in a production-grade AWS environment. You will design and maintain scalable data pipelines, ensure data quality through rigorous ETL testing, and play a key role in large-scale cloud migration initiatives.This role is ideal for someone passionate about building efficient, secure, and reliable data solutions, applying functional design principles, and leveraging automation to deliver business impact.Key Responsibilities - Develop and maintain scalable ETL pipelines within the AWS ecosystem. - Conduct ETL testing to ensure data integrity, accuracy, and performance. - Lead and support large-scale cloud migration projects. - Use Python (primary language) along with SQL and PySpark to develop data processing and automation solutions. - Orchestrate data workflows using Apache Airflow (including MWAA). - Collaborate with cross-functional teams to design data models and implement industry-standard data security and classification methodologies. - Monitor, troubleshoot, and optimize pipelines for reliability and performance. - Document design, conduct code reviews, and apply test-driven development (TDD) practices. - Work in Agile environments, participating in sprint planning and daily stand-ups. - Ensure a smooth transition of data during cloud migrations, applying DevOps and CI/CD practices where neededQualifications - 812 years of experience in Data Engineering, focusing on ETL, Cloud Migration, and Python development. - 5+ years of hands-on experience with Python (primary), SQL, and PySpark, applying functional design principles and software design patterns. - 5+ years building and deploying ETL pipelines across on-prem, hybrid, and cloud environments, with orchestration experience using Airflow. - 5+ years of production-level AWS experience (MWAA, Glue/EMR (Spark), S3, ECS/EKS, IAM, Lambda). - Solid understanding of core statistical principles, data modeling, and data security best practices. - 5+ years working in Agile development with unit testing, TDD, and design documentation. - 2+ years of DevOps/CI-CD experience, including Terraform or other Infrastructure-as-Code (IaC) platforms. - Excellent problem-solving skills, with the ability to troubleshoot complex data and performance issues. - Strong communication skills and ability to work effectively in a hybrid model (3 days onsite in Dallas). xaygatp Flexible work from home options available.