Senior DevOps Engineer – Databricks Platform

Dallas, Texas, United StatesHybridContractSenior$70–$70 /hrPosted 2 months ago

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Role summary

Seeking a Senior DevOps Engineer to manage and support the Databricks platform on Azure and AWS. This hybrid role requires expertise in cloud infrastructure, CI/CD, IaC, scripting, and monitoring tools. The ideal candidate will have experience with Gitlab, Azure DevOps, or GitHub Actions, and proficiency in Terraform, Bicep, or ARM templates. Familiarity with Docker, AKS, and data engineering principles is beneficial. Responsibilities include ensuring platform reliability, automating deployments, and implementing robust monitoring solutions. This position is for US citizens and Green Card holders only.

Job Title-
Devops engineer

Work Location: Hybrid San Francisco, CA or Dallas, TX or Hopkins, MN or Charlotte, NC or Atlanta, GA

Visa:- USC, GC, only

Interview:- Video

Rate:- $70/hr on W2

Key Skills and Qualifications

Cloud Platform Expertise: Deep knowledge of Microsoft Azure and/or AWS services, specifically, Azure and or AWS Databricks, Exposre to Azure Synapse Analytics (SQL pools, Spark pools, pipelines), Azure Data Factory (pipelines, triggers, data flows), would be beneficial as well. Azure Data Lake Storage (ADLS), and Azure Monitor

DevOps Tools & Methodologies:

CI/CD platforms: Expertise Gitlab or Azure Devlops (Azure Pipelines, Boards, Repos) or GitHub Actions.

Version Control: Strong experience with Git and branching strategies.

IaC tools: Proficiency in Terraform, Bicep, or ARM templates.

Containerization: Experience with Docker and container orchestration (Azure Kubernetes Service - AKS) is highly beneficial.

Programming & Scripting Languages: Proficiency in Python, SQL (SQL, query optimization), and scripting languages like PowerShell or Bash for automation and data manipulation tasks.

Data Engineering Fundamentals: Basic understanding of Data engineering principals such as ETL/ELT processes, data modeling, data warehousing, and big data concepts.

Monitoring & Logging: Experience implementing monitoring, logging, and alerting solutions using tools like Azure Monitor, Log Analytics, and Application Insights.

Soft Skills: Excellent problem-solving, analytical, and communication skills to work effectively in fast-paced, agile environments.

Preferred Certifications: Microsoft Certified: Azure Data Engineer Associate (DP-203) or Microsoft Certified: Azure DevOps Engineer Expert (AZ-400) are highly valued.

As an Analytics platform engineer supporting Azure & AWS Databricks from a DevOps perspective requires a hybrid skill set spanning primarily cloud infrastructure management and deployment, automation and CI/CD practices and it is helpful if they a background or exposure to ELT and data engineering and Database Administration Concepts etc.

*Best Regards,*

916-365-9533 (D) |
jaideep.shastri@fustis.com

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