Tiger Analytics
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.