Azure Data Engineer
Tiger Analytics Inc. Open At a glance
Mid-level Data Engineering role at Tiger Analytics Inc. Remote, United States · full-time · no salary stated · we estimate $125,901–$185,225.
Tiger Analytics Inc. has not published a salary for this role. The figure below is our estimate, not theirs.
remoteroles summary, based on the employer's posting.
What you'll do
- Design and build analytics capabilities using Azure data services and Spark SQL
- Use Azure Data Factory to bring structured and unstructured data into ingestion pipelines
- Turn raw data into formats consumers can use with Azure Databricks
- Work with large datasets by extracting, querying and joining them at scale
- Build Snowflake data marts from information stored in Azure, if that experience is relevant
What you bring
- A bachelor's degree in computer science or a comparable field
- Strong Python scripting skills and experience handling large datasets at scale
- Hands-on experience building data platforms with Azure and Spark SQL
- Experience creating Azure Data Factory pipelines and using Azure Databricks to prepare data
Who this fits
This mid-level, full-time role is remote and based in Chicago. It suits someone comfortable taking individual responsibility for Azure data engineering work.
From the employer
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.
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