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Tiger Analytics

Azure Data Engineer

Tiger Analytics

. Design and implement advanced analytics capabilities .

Posted 10/30/2026full-timeRemote • Illinois • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing advanced analytics capabilities, building data platforms using the Azure stack, and harmonizing raw data into consumer-friendly formats. Proficient in Python scripting and experienced in utilizing Azure Data Factory, Azure Databricks, and Snowflake for data ingestion and mart creation.

Highest-signal resume keywords
Azure StackSpark SQLAzure Data FactoryAzure DatabricksSnowflake

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Python ScriptingData Ingestion PipelinesData PlatformsData HarmonizationLarge Data Set QueryingAzure StorageData MartsBig Data Applications
Soft Skills
Strong Communication SkillsOrganizational Skills
Tools & Technologies
Azure Data FactoryAzure DatabricksSnowflakeAzure Storage
Industry Keywords
Advanced AnalyticsConsumer-Friendly FormatsStructured DataUnstructured DataAzure NetworkingAzure SecurityKey Vaults

Tech Stack

Tools & technologies
AzurePythonSnowflakeSparkSQL

About the role

Key responsibilities & impact
  • Design and implement advanced analytics capabilities
  • Build data platforms using the Azure stack and Spark SQL
  • Build data ingestion pipelines using Azure Data Factory for structured and unstructured data
  • Harmonize raw data into consumer-friendly formats using Azure Databricks
  • Build data marts with Snowflake using data residing in Azure storage

Requirements

What you’ll need
  • 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

Comp & perks
  • Excellent opportunity for significant career development
  • Fast-growing and challenging entrepreneurial environment
  • High degree of individual responsibility
  • Equal employment opportunities protected by federal, state, or local law