The responsibilities include Consulting, participating in presales, solutions and accelerator development, kickstarting large customer engagements.

Skill - Azure DataBricks-Apache Spark-AWS Skill Description - Hands-on and superior technical experience with Apache Spark

Proven experience of design and implementation experience in big data technologies including Hadoop, NoSQL, MPP, OLTP, OLAP5+ years experience working as either:

Software Engineer/Data Engineer: query tuning, performance tuning, troubleshooting, and debugging Spark and/or other big data solutions.

Data Scientist/ML Engineer: model selection, model lifecycle, hyperparameter tuning, model serving, deep learning, etc.Comfortable programming in Python, Scala or Java

Experience using and designing solutions on cloud infrastructure and services, such as AWS, Azure, or GCP

Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools and SQL Interfaces

. E.g. JenkinsProven experience with ML concepts covering Model Tracking, Model Serving and other aspects of productionizing ML pipelines in distributed data processing environments like Apache Spark, using tools like MLflow

Excellent communication Responsibility - Consulting, participating in presales, solutions and accelerator development, kickstarting large customer engagements"

Job Type: Full-time

Pay: $165,000.00 - $175,000.00 per year


  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Disability insurance
  • Employee assistance program
  • Employee discount
  • Flexible schedule
  • Flexible spending account
  • Health insurance
  • Health savings account
  • Life insurance
  • Paid time off
  • Professional development assistance
  • Referral program
  • Relocation assistance
  • Retirement plan
  • Tuition reimbursement
  • Vision insurance


  • 8 hour shift


  • Bachelor's (Preferred)


  • Azure: 7 years (Preferred)
  • Cloud Architecture: 10 years (Preferred)
  • Azure DataBricks: 5 years (Preferred)
  • big data technologies: 7 years (Preferred)
  • Data science: 5 years (Preferred)
  • Machine learning: 5 years (Preferred)

Work Location:

  • Fully Remote

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