Python Engineer - Python / Azure / DevOps

Data Science, Statistics, Data Engineer, Python, Pandas, Spark, Cloud, ETL, Informatica, Talend, DataStage, Azure, AWS
Contract W2, Contract Independent, 12 Months
Depends on Experience
Work from home not available Travel not required

Job Description

Incorporated in 1994, DISYS is one of the largest IT staffing firms in the US; DISYS has nearly doubled in revenues over the past three years and ranks 2nd on Staffing Industry Analysts annual listing of the Fastest-Growing U.S. Staffing Firms with over $300 million in annual revenues. DISYS is headquartered in McLean, Virginia, with offices and delivery locations worldwide in North and South America, Europe, and the Asia Pacific region.

Digital Intelligence Systems, LLC (DISYS) is a global managed staffing and services company with core capabilities in: Managed Staffing Services; Agile Services; Application Development Services; Business Intelligence Services; Cloud Enablement Services; Enterprise Resource Planning; Infrastructure Support Services; Program Management Services; Testing Services

Digital Intelligence Systems, LLC. (DISYS) is an Equal Opportunity Employer, M/F/D/V. We do not discriminate against any employee or applicant because they inquired about, discussed, or disclosed compensation. Email recruitinghelp@disys.com to contact us if you are an individual with a disability and require accommodation in the application process.

Python Engineer - Python / Azure / DevOps

Spring, TX

12+ months

A successful candidate would use their experience in full stack web app design to translate the requirements of the analytical solutions into an appropriate architecture, select the right frameworks and libraries, ensure that they integrate together, and implement and deploy this system in the cloud. Ability to work well in a multi-disciplinary team is a must, as the candidate must design an application back end that the Data Scientists can quickly leverage with their Python skills, coordinate SW development activities with others in the team, and work with end users to design application front ends, putting communication skills and experience with Agile/DevOps practices at a premium.

Responsibilities:

  • Work with Houston based Data Science team to understand workflow requirements with respect to relevant technologies within a cloud environment
  • Design appropriate data model and storage solutions for the data relevant to business problems being solved; set up data ingestion & integration pipelines in the cloud
  • Design Azure-based workflows to enable Data Scientists to develop analytical capabilities, provide a robust testing and CI/CD capabilities, and are able to be quickly deployed as web applications into the cloud
  • Identify appropriate front end technologies that enable Data Science workflows to be used by others, and lead that development
  • Monitor the security of all cloud based assets

Skills:

  • Multi-year experience in designing web applications, with involvement across the full stack from data storage to the front end
  • Advanced Python skills with previous experience in Python-based web frameworks (e.g. Django, Flask, Pyramid, etc.)
  • Comfortable with Agile, lean & DevOps practices for delivering iterative solutions to the business.
  • Proficient in deploying solutions within the Microsoft Azure Cloud Environment.
  • Experience with PowerShell & Azure CLI.
  • Experience with Data Lakes, SQL & No-SQL storage, ETL & data engineering pipelines
  • Proficient in setting up, monitoring & improving CI/CD pipelines for deploying iterative solutions.
  • Candidates with significant experience with containerized micro-services & Kubernetes based orchestration is a plus.

Sunny Patel | National SAP Delivery Lead

Digital Intelligence Systems (DISYS) IT Consulting Services

Email:

 

 

 

Dice Id : 10110693
Position Id : 074561
Originally Posted : 3 years ago
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