Tiger Analytics

Delivers Data and AI transformation

Databricks Administrator

Database AdministrationConfirmed live in the last 24 hours

Full-timeDallas, TX, USANo salary listedRemote

About the Job

Requirements

Experience deploying applications on the Azure Databricks platform.
Knowledge of Azure to drive solutions and support the development team.
Experience in software engineering, architecture, and large-scale delivery in a fast-paced, agile environment.
Expertise in Azure Databricks administration and applications, memory management, scheduling queues and messages, performance management, cluster health checks, backup and recovery, node commissioning and decommissioning, Hive connections, Kafka, Spark, MapReduce, Tez, Azure HDInsight, Databricks, storage, storage accounts, Storage Explorer, Key Vaults, user group administration, privilege checks, code deployment to production, server log analysis, and scheduled report and backup monitoring.

Responsibilities

Provide technical solutions to multiple engineering and operations teams.
Develop platform architecture blueprints.
Guide junior engineers in developing into individual-contributor leaders.
Bridge platform teams with application and central architecture teams.
Support the development team and create documentation describing technical solutions.

Databricks Admin

Tiger Analytics Inc. · Dallas, United States (Remote) · Other · Posted 2023-03-17

Workplace: remote

Description

Tiger Analytics is advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

Tiger Analytics team is looking for a strategic-minded technology leader with a strong track record of identifying gaps, defining roadmaps, and seeing solutions through from ideation to fruition. This role will provide technical solution to multiple engineering and operation teams, develop platform architecture blueprints, guide the development of junior engineers into individual-contributor leaders, and bridge the gaps between platform teams with application and central architecture teams. The ideal candidate will have demonstrated experience in software engineering, architecture, and large-scale delivery in a fast-paced, agile environment.

Requirements

The Azure Databricks Administrator will be responsible for providing technical expertise in deploying applications on Azure Databricks platform.

The Databricks Administrator must be self-motivated and apply knowledge of Azure to drive solutions, support the development team, and create documentation to support and describe technical solutions.

Primary Skill : Azure Databricks Admin & Application
Memory Management
Handle Scheduling queues & Messages
Performance Management
Supervise Clusters Health check
Regular Back up & recovery
Node Commissioning & Decommissioning
Hive connections, Kafka, Spark, Map Reduce, Tez
Secondary Skills – Azure HDInsight, Databricks, Storage, accounts, Storage explorer, Key vaults
User Group Administration,
Privilege Checks
Code Deployment to Production
Server Log Analysis
Scheduled Report Monitoring & Back up Monitoring

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Apply

Apply at Tiger Analytics Inc.

About the Company

Tiger Analytics

Delivers Data and AI transformation

Tiger Analytics helps large organizations plan and execute Data and AI–led transformations at scale. It works with clients to translate business needs into data and AI initiatives, using an approach that combines business value mapping, agile operating models, and a platforms-based architecture, backed by partnerships with major hyperscalers. The company designs and delivers end-to-end data and AI solutions—from strategy and data engineering to model development and deployment—so that AI can be applied to tough, real-world problems. Unlike firms that rely mainly on standard playbooks, Tiger Analytics builds custom approaches and accelerators to suit each client’s value chain and operating model. With a global team of 5000+ technologists and consultants, the goal is to enable measurable value and practical outcomes through data and AI programs that work at enterprise scale.

Company size: 1,001-5,000
Company stage: Not listed
Total funding: Not listed
Headquarters: San Jose, CA
Founded: 2010

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