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AWS Cloud Engineer

Job in Plano, Collin County, Texas, 75023, USA
Listing for: Jconnect Infotech Inc
Full Time position
Listed on 2026-07-01
Job specializations:
  • IT/Tech
    Data Engineering, AWS, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below

AWS Cloud Engineer

Location:

Seattle, WA/St. Louis, MO/Plano, TX/Dallas, TX/Houston, TX (Onsite)

Duration:
Full-time only

Job Description:

  • AWS data services (S3, Glue, Redshift, Athena, Lambda, Step Functions, Kinesis, etc.)
  • Unity Catalog, Pyspark, AWS Glue, Lambda, Step Functions, and Apache Airflow
  • Programming skills in Python, Scala, or Pyspark for data processing and automation
  • Expertise in SQL and experience with relational and No

    SQL databases (e.g., RDS, DynamoDB).
  • Data Pipeline Development:
    Design, develop, and optimize ETL/ELT pipelines using AWS & Databricks services such as Unity Catalog, Pyspark, AWS Glue, Lambda, Step Functions, and Apache Airflow.
  • Data Integration:
    Integrate data from various sources, including relational databases, APIs, and streaming data, ensuring high data quality and consistency.
  • Cloud Infrastructure Management:
    Build and manage scalable, secure, and cost-efficient data infrastructure using AWS services like S3, Redshift, Athena, and RDS.
  • Data Modeling:
    Create and maintain data models to support analytics and reporting requirements, ensuring efficient querying and storage.
  • Performance Optimization:
    Monitor and optimize the performance of data pipelines, databases, and queries to meet SLAs and reduce costs.
  • Collaboration:

    Work closely with data scientists, analysts, and software engineers to understand data needs and deliver solutions that enable business insights.
  • Security and Compliance:
    Implement best practices for data security, encryption, and compliance with regulations such as GDPR, CCPA, or ITAR.
  • Automation:
    Automate repetitive tasks and processes using scripting (Python, Bash) and Infrastructure as Code (e.g., Terraform, AWS Cloud Formation).
  • Agile Development:
    Build and optimize continuous integration and continuous deployment (CI/CD) pipelines to enable rapid and reliable software releases using Gitlab in an Agile environment.
  • Monitoring and Troubleshooting:
    Set up monitoring and alerting for data pipelines and infrastructure, and troubleshoot issues to ensure high availability.
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