Senior AWS Data Engineer

S

Select Minds LLC

Senior AWS Data Engineer

Dallas, TX
Full Time
Paid
  • Responsibilities

    Benefits:

    Hybrid

    Competitive salary

    Opportunity for advancement

    Job Title: AWS Data Engineer Location: Dallas, TX (Hybrid – 3 days onsite) Experience: 8–12 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

    • 8–12 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.