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.
Skills Required
- Experience with Azure Databricks
- Memory Management
- Experience with Kafka, Spark, Map Reduce, Tez
- User Group Administration
- Code Deployment to Production
Tiger Analytics Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Tiger Analytics and has not been reviewed or approved by Tiger Analytics.
-
Fair & Transparent Compensation — Feedback suggests pay is viewed as fair and market-aligned for many roles and geographies. Consistent, on-time pay and competitive packages in key markets reinforce a generally positive baseline.
-
Healthcare Strength — Feedback suggests U.S. medical coverage is strong, with administration via a known benefits platform and plan options seen positively. Health insurance is often regarded as a bright spot within the package.
-
Leave & Time Off Breadth — Feedback suggests generous PTO, paid sick days and holidays, and flexible PTO alongside remote-work options. These elements indicate broad time-off provisions available on paper.
Tiger Analytics Insights
What We Do
Tiger Analytics is a global leader in AI and Analytics, helping Fortune 1000 companies solve their toughest challenges. We offer fullstack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. We are Great Place to Work-Certified™ and have been recognized by analyst firms such as Forrester, Gartner, Everest, ISG, HFS, and others. Ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine. In India, our offices are located in Chennai, Hyderabad and Bangalore.
