Senior Azure Databricks Engineer

2 days ago


Hyderabad, Telangana, India Innovatz Global Full time US$ 80,000 - US$ 1,50,000 per year

Company Description

Innovatz is a global management consulting, technology services, and business process outsourcing company headquartered in Kuala Lumpur, Malaysia. We have a significant presence in America, China, India, Australia, Korea, Hong Kong, Singapore, Thailand, Philippines, Indonesia, and Vietnam. Our skilled workforce of over 500 professionals includes Subject Matter Experts, Project Managers, and Technology Specialists. Innovatz has an excellent track record of delivering innovative staffing solutions and services to Fortune 500 companies worldwide. Our Human-Centered Design Approach ensures business results for our clients and their customers, adapting flexibly to meet the rapidly changing talent needs of today's work environment.

Role Description

This full-time on-site role is based in Hyderabad and requires a Senior Azure Databricks Engineer. The Senior Azure Databricks Engineer will be responsible for the design, development, and maintenance of data processing systems that utilize the Azure Databricks platform. Daily tasks include collaborating with data scientists and business analysts to understand requirements, architecting and implementing data pipelines, optimizing performance, and ensuring system reliability and scalability. The role also entails troubleshooting issues, providing technical mentorship to junior team members, and staying updated with the latest industry trends and technologies.

Qualifications

  • Skills in Software Development
  • Experience with Infrastructure and Cloud Computing, particularly Azure Databricks
  • Proficiency with Linux and Databases
  • Strong problem-solving abilities and attention to detail
  • Excellent communication and teamwork skills
  • Bachelor's degree in Computer Science, Engineering, or related field
  • Experience in a similar role or relevant certifications are a plus
  • Familiarity with Big Data technologies and data engineering best practices


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