Senior Azure Data Engineer
Chicago, IL
Fulltime
Experience with Databricks for both Streaming and Batch processing
Proficiency in Scala and Python programming languages
Strong knowledge of Apache Spark for data processing and analytics
Hands-on experience with Azure Delta Lake for data storage and management
Familiarity with PowerBI for data visualization and reporting
Expertise in Azure Data Factory for data integration and ETL workflows
Experience with NoSQL databases such as Cassandra or Cosmos DB for unstructured data storage
Competence in Azure SQL DB for relational database management
Proficient in version control systems like Git for code management
Knowledge of build automation tools like Maven for project management and dependencies
Job Type: Full-time
Pay: $125,000.00 - $130,000.00 per year
Benefits:
• 401(k)
• Dental insurance
• Health insurance
• Paid time off
• Vision insurance
Experience:
• Python: 6 years (Required)
• Scala: 2 years (Required)
• Azure Data Lake: 3 years (Required)
• SQL: 4 years (Required)
• ETL: 4 years (Required)
Ability to Commute:
• Deerfield, IL 60015 (Required)
Ability to Relocate:
• Deerfield, IL 60015: Relocate before starting work (Required)
Work Location: In person
