Azure Principal Data Engineer

If you are passionate about working on business problems that can be solved using structured and unstructured data at large scale, Tiger Analytics would like to talk to you.

Now hiring for multiple opportunities in Data Engineering (Azure) for an immediate full-time role. This is a remote opportunity.

The Azure Principal Data Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities. These capabilities include batch and streaming analytics, machine learning models, natural language generation, and other emerging technologies in the field of advanced analytics.

Job description:

Strong experience working as a Data Engineer with excellent proficiency in Python, SQL, Azure and Databricks.

Experience extracting/querying/joining large data sets at scale

Experience building data platforms using Azure stack.

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 in data wrangling, advanced analytic modeling, and AI/ML capabilities is preferred

Experience utilizing Snowflake to build data marts with the data residing in Azure storage is a plus

Strong communication and organizational skills

You would need valid work authorization to work in the US or Canada.

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.