Big Data & Analytics Cloud Platform Engineer

Job ID:
Irving, TX
Information Technology, Telecommunications, Array
$150,000.00 per year
Zip Code:
Employment Type:
Full time

Job Description:

Big Data Analytics Cloud Platform Engineer

Salary: $120-$150k Flex, % Bonus

Location: Irving, TX

Selling Point: Cloud Infrastructure, analytics solution design, architecture of Big Data in the Cloud AWS, Linux, Big Data EMR, Spark, Impala, Kafka, No SQL, Data Warehousing

Big Data & Analytics Cloud Platform Engineer

Job Description

Company is looking for senior Big Data & Analytics Cloud Platform Engineers within ATSV Information Services Group. Within ISG, we are responsible and accountable for the engineering and operation of the Company big data and analytics platforms


  • Oversee and develop the various Big Data capabilities in cloud, aligning them with business strategies and requirements.
  • Architect solutions for massive scale, resiliency and maintainability, leveraging various cloud providers, which meet technical, security, and business needs for applications and workloads.
  • Champion good engineering practices and help teams to define and setup frameworks for Big Data As A Service .
  • Contribute to technology strategy and engineering roadmaps around Big Data In Cloud platforms and execute strategic engineering proof of concepts.
  • Develop monitoring strategies for infrastructure, platforms and applications aligning with enterprise strategy and overall industry trends.
  • Champion the appropriate use of open source and commercial technology based upon industry trends and innovative concepts.

Job Qualifications


  • Degree in Computer Science, MIS, or related area, or equivalent work experience.
  • 5+ years of relevant senior level experience in infrastructure, analytics or solution design/architecture.
  • Demonstrable knowledge of Amazon Web Services or similar cloud computing platform.
  • Good understanding of Linux - preferably RHEL.
  • Technical leadership and solution design.
  • Hands-on style - willingness and competence in producing necessary changes in our infrastructure and processes.
  • Able to work effectively across organizational and geographical boundaries
  • Ability to clearly communicate ideas and solutions.
  • Demonstrable ability to learn new technologies quickly.


  • Big Data Technologies such as Hadoop, EMR, Spark, Impala, Kafka, etc.
  • Data Warehousing, SQL, Relational Databases.
  • NoSQL Databases.
  • Integration, Dataflow management, ETL.
  • Storage - NAS, SAN, JBOD, Object Storage.
  • Automation, Configuration Management (eg Ansible, Puppet), Dev-ops practices, CI/CD pipelines (eg Jenkins).
  • Elementary networking skills, switching, routing, Firewalls, load balancing.
  • Development skills - Java, Scala, Python, PERL, Shell Script.
  • Linux Containers/Docker.
  • Workflow scheduling and management.
  • DR and business continuity planning.
Company Info
Request Technology - Jacqueline White