AWS Databricks Platform - Sr. Engineer

5 - 7 years

9 - 14 Lacs

Posted:None| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Skilled

    AWS Databricks Platform Administrator

    to manage and optimize our Databricks environment.
  • The ideal candidate will have strong expertise in user access management, user persona development, and the ability to collaborate with architects to implement configuration changes.
  • This role involves ensuring the security, performance, and reliability of the Databricks platform while supporting users and maintaining compliance with organizational policies.
  • Good experience with SDLC
  • Databricks platform administration is a must
  • Must have security and access control experience, user provisioning
  • Services integration experience
  • Should be able to work with enterprise architects
  • Good to have - API experience

Required Skills & Qualifications

  • 5-7years of experience

    as a Databricks Administrator or similar role.
  • Strong experience with

    AWS services

    (IAM, S3, EC2, Lambda, Glue, etc.).
  • Expertise in

    Databricks administration, workspace management, and security configurations

    .
  • Hands-on experience with AD groups,

    user access management, RBAC, and IAM policies

    .
  • Experience in

    developing and managing user personas

    within enterprise environments.
  • Strong understanding of

    network security, authentication, and data governance

    .
  • Proficiency in

    Python, SQL, and Spark

    for troubleshooting and automation.
  • Familiarity with

    Terraform, CloudFormation, or Infrastructure as Code (IaC)

    is a plus.
  • Knowledge of

    CI/CD pipelines

    and DevOps best practices is desirable.
  • Excellent

    communication and documentation skills

    .

Preferred Certifications

  • AWS Certified Solutions Architect Associate Professional
  • Databricks Certified Data Engineer Administrator

Certified Information Systems Security Professional (CISSP) Nice to have


Mandatory Competencies
Data Science and Machine Learning - Data Science and Machine Learning - Databricks
Cloud - AWS - AWS Lambda,AWS EventBridge, AWS Fargate
Data on Cloud - AWS S3
Big Data - Big Data - SPARK
Beh - Communication and collaboration
Cloud - Azure - Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage, Event Hubs, HDInsight
Cloud - AWS - AWS S3, S3 glacier, AWS EBS
Programming Language - Python - Python Shell
Database - Database Programming - SQL

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Iris Software

Information Technology & Services

Centennial

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