Benefits: Hybrid Competitive salary Opportunity for advancement

Job Title: Senior AWS Data Engineer Location: Dallas, TX (Hybrid 3 days onsite) Experience: 812 years Interview Process: In-Person Profiles: Locals & Non-Locals Can Apply

Overview We are looking for an experienced AWS Data Engineer with strong expertise in ETL, cloud migration, and large-scale data engineering. The ideal candidate is hands-on with AWS, Python/PySpark, and SQL, and can design, optimize, and manage complex data pipelines. This role requires collaboration across teams to deliver secure, scalable, and high-quality data solutions that drive business intelligence and operational efficiency.

Key Responsibilities - Design, build, and maintain scalable ETL pipelines across AWS and SQL-based technologies. - Assemble large, complex datasets that meet business and technical requirements. - Implement process improvements by re-architecting infrastructure, optimizing data delivery, and automating workflows. - Ensure data quality and integrity across multiple sources and targets. - Orchestrate workflows with Apache Airflow (MWAA) and support large-scale cloud migration projects. - Conduct ETL testing, apply test-driven development (TDD), and participate in code reviews. - Monitor, troubleshoot, and optimize pipelines for performance, reliability, and security. - Collaborate with cross-functional teams and participate in Agile ceremonies (sprints, reviews, stand-ups).

Requirements - 812 years of experience in Data Engineering, with deep focus on ETL, cloud pipelines, and Python development. - 5+ years of hands-on coding with Python (primary), PySpark, and SQL. - Proven experience with AWS services: Glue, EMR (Spark), S3, Lambda, ECS/EKS, MWAA (Airflow), IAM. - Experience with AuroraDB,DynamoDB Redshift, and AWS Data Lakes. - Strong knowledge of data modeling, database design, and advanced ETL processes (including Alteryx). - Proficiency with structured and semi-structured file types (Delimited Text, Fixed Width, XML, JSON, Parquet). - Experience with ServiceBus or equivalent AWS streaming/messaging tools (SNS, SQS, Kinesis, Kafka). - CI/CD expertise with GitLab or similar, plus hands-on Infrastructure-as-Code (Terraform, Python, Jinja, YAML). - Familiarity with unit testing, code quality tools, containerization, and security best practices. - Solid Agile development background, with experience in Agile ceremonies and practices.

Flexible work from home options available.