Azure Data Engineer
Tiger Analytics Chicago, Illinois, United States
Pay not stated
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About the role
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.
Posting text as published by Tiger Analytics.
The evidence behind this listing
- Workplace
- Remote Employer field
- Seniority
- Not established
- Employment type
- Not established
- Location as listed
- Chicago, Illinois, United States
Pay and work authorization
- Stated pay
- Not stated
- Visa sponsorship
- Not stated
- Security clearance
- Not established
- Citizenship
- Not established