Azure Data Engineer
Tiger Analytics Inc.13 days ago
Remote, United States or Chicago, IL, USAMid Level
Responsibilities
- Design and implement advanced analytics capabilities.
- Build data platforms using the Azure stack and Spark SQL.
- Develop Azure Data Factory ingestion pipelines for structured and unstructured data.
- Harmonize raw data into consumer-friendly formats using Azure Databricks.
- Extract, query, and join large datasets at scale.
- Apply knowledge of Azure Storage, networking, security, and key vaults.
- Potentially use Snowflake to build data marts from data stored in Azure Storage.
Requirements
- Bachelor’s degree in Computer Science or a similar field.
- Strong Python scripting skills.
- Experience extracting, querying, and joining large datasets at scale.
- Experience building data platforms with Azure and Spark SQL.
- Experience building data ingestion pipelines using Azure Data Factory.
- Strong knowledge of Azure Storage Gen1 and Gen2.
- Experience using Azure Databricks to harmonize raw data.
- Knowledge of Azure networking, security, and key vaults.
- Snowflake experience for building data marts is a plus.
- Exposure to big data applications is preferred.
- Strong communication and organizational skills.
Benefits
- Remote, full-time position.
- Opportunity for significant career development in a fast-growing, challenging entrepreneurial environment.
- High degree of individual responsibility.
About Tiger Analytics Inc.
Tiger Analytics Inc. provides data and AI consulting services that deliver machine learning, analytics, and cloud data engineering solutions for large enterprises across industries, including life sciences. The company engages on strategy and implementation projects, from modern BI and data platforms to MLOps, helping Fortune 100 clients turn data into business outcomes. Founded in 2011 and headquartered in Santa Clara, it is privately held with operations across North America, Europe, and Asia-Pacific.