Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
The Azure Data Engineer will be responsible for designing, and implementing advanced analytics capabilities.
Requirements
- Bachelor’s degree in Computer Science or similar field
- Strong in Python scripting
- Experience extracting/querying/joining large data sets at scale
- Experience building data platforms using Azure stack and Spark SQL
- Experience building data ingestion pipelines using Azure Data Factory to ingest structured and unstructured data
- Strong knowledge on Azure Storage schematics such as Gen1 and Gen2
- Experience in harmonizing raw data into a consumer-friendly format using Azure Databricks
- Knowledge of Azure networking, security, key vaults, etc.
- Experience utilizing Snowflake to build data marts with the data residing in Azure storage is a plus
- Good to have exposure to Big data applications
- Strong communication and organizational skills
Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
Skills Required
- Bachelor's degree in Computer Science or a similar field
- Strong Python scripting skills
- Experience extracting, querying, and joining large datasets at scale
- Experience building data platforms using Azure and Spark SQL
- Experience building data ingestion pipelines with Azure Data Factory for structured and unstructured data
- Strong knowledge of Azure Storage Gen1 and Gen2
- Experience harmonizing raw data into consumer-friendly formats using Azure Databricks
- Knowledge of Azure networking, security, and key vaults
- Experience using Snowflake to build data marts from Azure storage data
- Exposure to big data applications
- Strong communication and organizational skills
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.
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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.
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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.
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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.
