Akraya Inc.

Principal Data Engineer ML and Data Platforms: 22-...

Job description

Primary Skills: DevOps, Python, Machine Learning/MLOps, AWS, Data Engineering
Contract Type: Full time
Duration: Permanent
Location: Remote

NOTE: Role open to Women Back to Work candidates with a career gap

To follow up with any questions, please contact Mrunali at 408-907-2234

“Looking for a new job that will give YOU a sense of accomplishment?”


  • Design, architect and hire for data engineering and other Data Management teams
  • Follow and promote software engineering and data engineering best practices across the organization; keep up to date with the state-of-the-art developments in data engineering
  • Ensure data capabilities offer reliable high-quality data with consistent SLAs with good monitoring, alerting and incident response and continual investment to reduce tech-debt.Enable Data Quality for complex data sets.
  • Integrate with AWS Cloud Services for compute, storage and security to build data lakes and associated data services.Build upon and enhance existing DevOps/ DataOps practices

  • Bachelor's Degree in Computer Science, Engineering, Data Science or related technical field or equivalent; Master's Degree preferred.
  • 10+ years of experience designing and building data-intensive solutions along with 6 + years' experience in SQL, RDBMS and data pipelining
  • 4+ years of experience in building and maintaining DevOps/DataOps pipelines end-to-end in production environments for delivering supportable data analytics solutions and experience in languages like Python/Scala and scripting (Bash, Shell, PowerShell).
  • Experience partnering with data engineering teams to deliver secure, scalable data capabilities in an enterprise context.
  • Understanding of AWS networking, security, IAM roles, monitoring and application debugging is critical.

Akraya is an award-winning IT staffing firm and the staffing partner of choice for many leading companies across the US. Akraya was recently voted as a 2022 Best Staffing Firm to Temp for by Staffing Industry Analysts and voted by our employees and consultants as a 2022 Glassdoor Best Places to Work.

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