Tiger Analytics

Lead Data Engineer, Azure

Tiger Analytics

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Job Level

Senior

Tech Stack

ApacheAzureCloudETLPythonSparkSQLUnix

About the role

  • 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

  • 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