Devops Engineer

We are looking for DevOps Engineer who will be responsible for managing multi-cloud and on-premises environment and deployment using for DQLabs platform. Key skill is the ability to learn, understand new technologies and adopt best practices and create a process plus standardize deployment.

Location: Los Angeles, CA

Skills: AWS/Azure/GCP, React, Databricks, Spark, Python/Java/Scala, SQL, Hadoop, NodeJS, Django


• Develop and deliver creative solutions that automate systems engineer functions, reducing manual and unplanned effort.

• Analyze, design, implement and validate strategies for streamlined CI/CD workflows.

• Design and implement automated dynamic environments to support the needs of delivery teams.

• Apply principles of best-practice, self-organization, autonomy, and continuous improvement to self and team.

• Participate in supporting the data platforms 24X7.


• 3+ years of hands on experience with enterprise scale applications and systems with AWS/Azure/GCP cloud and associated services

• Expertise in Big Data technologies, Cloud Data warehouse , Hadoop ecosystem and in particular with Apache Spark, Databricks.

• Expertise in programming languages Python and expertise in Java, Scala or similar will help.

• Ability to work in fast paced, high pressure, agile environment and willingness to learn any new technologies and apply them at work in order to stay ahead of the curve.

• Expertise in building and managing large volume data processing (both streaming and batch) platform and performance optimization, clustering is a must.

• Experience with version control software’s like GIT and CI/CD testing/automation experience.

• Excellent one-on-one communication and presentation skills, specifically able to convey technical information in a clear and unambiguous manner.

• Working knowledge of Linux and Windows operating system.

Apply to Join DQLabs Team

Best Practices

DQLabs in Action: Observe, Measure, Discover


DQLabs in Action: Observe, Measure, Discover

The Modern Data Stack needs Modern Data Quality. Organizations deserve a better way to observe, measure and discover the data that matters. It’s time we eliminate the data silos created by legacy Data Observability, Data Quality and Data Discovery platforms by centralizing them into a single, agile solution. That is Modern Data Quality. That is DQLabs.

Join us on this webinar to learn how the DQLabs platform is the Modern Data Quality Platform eliminates critical data silos by centralizing Data Observability, Data Quality, and Data Discovery into a single, agile AI-driven platform.


12:00 pm: Welcome & Introductions

12:05: pm: Industry Insights: Defining Modern Data Quality

12:15 pm: DQLabs in Action: Platform Showcase 

12:30 pm: Questions & Answers

12:45 pm: Close

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