Demo

Data Platform Engineer

Intelliswift - An LTTS Company
San Jose, CA Temporary
POSTED ON 3/1/2025
AVAILABLE BEFORE 5/25/2025

Job Title : Data Platform Engineer

Location : San Jose, CA 95110

Duration : 4 months

Contract Type : W2 only

Pay Rate : $79.58 / hour

Duties :

  • Setup and maintain production scale Databricks environment on public cloud such as Microsoft Azure and AWS (Amazon Web Services)
  • Setup and maintain production scale data storage such as ADLS (Azure Data Lake Storage) and AWS S3 for multiple tenant teams using our Data Platform
  • Setup and maintain production scale micro services to support the daily operation of our data platform. Services include job scheduling, security, financial, and administrative services, etc.
  • Provide triage and guidance to the team on various support issues raised by our tenants
  • Develop tools and automation solutions for configuration management, service deployments, monitoring, and alerting to assist with daily RTB (Running the Business) operations
  • Budget and monitor cloud spend, always think of ways to avoid cloud resource wastage, utilize 3rd party tools, or develop your own tools to help the team with cost optimization
  • Assure security and privacy compliance and implement Adobe Security & Compliance solutions to lock down data stored in our data lake
  • Explore GenAI technologies and find opportunity to integrate them with our data platform, providing platform enhancement or improving platform user experience in the end
  • Work with various 3rd party vendors for troubleshooting, proof of concept, and other collaborative projects to enhance our product.

Skills :

  • Cloud Infrastructure Administration and Automation : AWS, Azure
  • Proficient with following storage technologies : ADLS Gen2, AWS S3, Hive or MySQL, MongoDB, Vector Databases
  • Setup, troubleshoot and maintain following technologies : Databricks Workspace, includes but not limited to - Unity Catalog, Vector Search, SQL Warehouse, Serverless Compute, Spark workloads, Airflow and DAGs, Azure Kubernetes Service or Elastic Kubernetes Service, Collibra, Neo4J, Metric Insights
  • Ability to setup monitoring and alerting with : Databricks System Tables, Prometheus, Splunk, ELK, PowerBI
  • Familiar with how to troubleshoot and maintain : Servers with Linux system, Kubernetes environment
  • Knowledge to operate with : Jira, Service Now
  • Education : BS in Computer Science, Computer Engineering, or similar

    Salary : $80

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