Azure Databricks Architect

Neal Analytics

11 - 16 years

11 - 16 Lacs

Mumbai Maharashtra India

Posted:19 hours ago| Platform: Foundit logo

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Skills Required

Work Mode

On-site

Job Type

Full Time

Job Description

work with big data and machine learning
The Impact you will have
:
Handle day-to-day administration tasks such as configuring clusters and workspaces, monitor platform health, troubleshoot issues, and perform routine maintenance and upgrades.
Evaluate new features and enhancements introduced by Databricks from Security, Compliance and manageability prospective
Implement and maintain security controls to protect the Databricks platform and the data within it. Collaborate with the security team to ensure compliance with data privacy and regulatory requirements. Develop and enforce governance policies and practices, including access management, data retention, and data classification.
Optimize the platforms performance by monitoring resource utilization, identifying and resolving bottlenecks, and fine-tuning configurations for optimal performance. Collaborate with infrastructure and engineering teams to ensure that the platform meets the scalability and availability requirements.
Work closely with data analysts, data scientists, and other users to understand their requirements and provide technical support
Automate platform deployment, configuration, and monitoring processes using scripting languages and automation tools. Collaborate with the DevOps team to integrate the Databricks platform into the overall infrastructure and CI/CD pipelines.
What we Look for
:
11 to 16 Years of experience
7+ years of experience with Big Data Technologies such as Apache Spark, cloud native Data lakes and Data mesh platforms technical Architecture or consulting role
Strong experience in administering and managing Databricks or other big data platforms - Azure cloud
Python programming
Skills in technical areas which support deployment and integration of Databricks based solutions.
Understanding latest services offered by Databricks and evaluation of those services and understanding how these services can fit into the platform

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