Databricks Azure Data Engineer

This role focuses on designing, building, and maintaining robust data pipelines and solutions using Databricks and Azure cloud technologies. The ideal candidate will possess strong data engineering skills, experience with cloud platforms, and a passion for delivering high-quality data solutions to support business intelligence and data science initiatives.

Key Responsibilities:

Develop and maintain data pipelines using Databricks and Azure services.
Design and implement data models and data warehousing solutions.
Optimize data processing performance and ensure data quality.
Collaborate with data scientists and business analysts to understand data requirements.
Troubleshoot and resolve data-related issues.

Requirements/Qualifications:

Experience with Databricks and Spark.
Proficiency in Azure cloud services (e.g., Azure Data Factory, Azure Synapse Analytics).
Strong programming skills in Python or Scala.
Experience with data modeling and data warehousing concepts.
Excellent problem-solving and communication skills.

About the Company: Tiger Analytics is a data science and analytics company that helps organizations leverage data to drive better business outcomes. They provide a range of services, including data engineering, data science, and business intelligence solutions, enabling clients to make data-driven decisions.