Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.
We are expanding our Data Engineering practice and looking for Azure Data Engineers to join our growing team of analytics experts. The right candidate will have strong analytical skills and the ability to combine data from different sources and will strive for efficiency by aligning data systems with business goals.
Requirements
Below are the specifics.
- Data Engineering Lead – 9+ years’ experience leading DE engagements
- Strong program management experience, managing complex data engineering initiatives – stakeholder management, risk management, offshore coordination with 6-10 members DE team.
- Strong in communication; both at executive as well as execution level
- Primary Skill- Azure, Databricks, SQL, Python
- Secondary Skill- On Prem to Cloud Migration
- Proficiency in Python programming.
- Proficiency in SQL queries
- Experience building data pipelines using Azure stack
- 2+ years of experience using Apache spark
- Good working experience on Delta Lake and ETL processing
- Prior experience of working in a Unix environment
- Experience in harmonizing raw data into a consumer-friendly format using Azure Databricks
- Experience extracting/querying/joining large data sets at scale
- Experience building data ingestion pipelines using Azure Data Factory to ingest structured and unstructured data
- Experience in data wrangling, advanced analytic modeling is preferred
- 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.
Skills Required
- 9+ years of experience leading data engineering engagements
- Strong program management experience with complex data engineering initiatives
- Stakeholder management, risk management, and offshore coordination experience
- Experience coordinating a 6-10 member data engineering team
- Strong executive and execution-level communication skills
- Proficiency with Azure, Databricks, SQL, and Python
- Experience with on-premises to cloud migration
- Experience building data pipelines using the Azure stack
- At least 2 years of experience using Apache Spark
- Working experience with Delta Lake and ETL processing
- Experience working in a Unix environment
- Experience harmonizing raw data into consumer-friendly formats using Azure Databricks
- Experience extracting, querying, and joining large datasets at scale
- Experience building Azure Data Factory ingestion pipelines for structured and unstructured data
- Experience in data wrangling and advanced analytic modeling
- 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.
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