Urgent Req: DevOps Engineer Denver,CO(5 days Onsite) F2F is Must Long Term Contract

[Murali Krishna Tummala]

Face to Face Interview No Fake Visa or Fake Resumes

 Urgent Req: DevOps Engineer Denver,CO(5 days Onsite) F2F is Must Long Term Contract

Visa: Must Only GC, US Citizen & H1b(if I140 approved)

Job Description:

We are seeking a highly skilled Databricks Developer to join our team as the core programmer for our data ecosystem. In this role, you will bridge the gap between backend data pipelines and frontend insights by writing efficient PySpark code and building custom, interactive applications. Your primary focus will be developing production-grade data pipelines and building data-driven user interfaces directly within the platform using Databricks Apps.

Need genuine experience and genuine visa and Linked in
Mail me Resume kri...@readpointe.com

Key Responsibilities

Application Development: Design, code, and deploy custom, interactive web applications and data UIs using Databricks Apps to expose analytics and ML tools directly to business users.

Pipeline Engineering: Write modular, highly optimized PySpark and structured SQL code within Delta Live Tables (DLT) and Databricks Workflows.

UI/UX Integration: Integrate data pipelines with popular Python-based application frameworks like Streamlit, Dash, or Gradio hosted securely inside Databricks.

Performance Tuning: Optimize code execution paths, query structures, and file layouts using modern platform features like Liquid Clustering (CLUSTER BY).

DevOps & App Lifecycle: Package, deploy, and manage the CI/CD lifecycle of both pipelines and Databricks Apps using Databricks Asset Bundles (DABs) and Git.

Data Security: Ensure all developed applications and data models conform to governance, access controls, and security policies managed by Unity Catalog.

ML Integration: Build application interfaces that interact with production machine learning models served via MLflow endpoints.

Required Skills and Qualifications

Core Expertise: Deep development experience within the Databricks platform environment and Apache Spark framework.

Languages: Advanced programming skills in Python (PySpark, Pandas) and highly structured SQL.

App Frameworks: Proven experience building web applications using Streamlit, Dash, or Gradio, with an understanding of state management and API integration.

Storage Mechanics: Solid understanding of Delta Lake architecture, table optimization, and modern dynamic data layouts.

SDLC Tools: Proficiency with Git, CI/CD pipelines, and infrastructure-as-code deployment via Databricks Asset Bundles (DABs).

Certifications (Preferred): Databricks Certified Data Engineer Associate/Professional or Databricks Certified Developer