Data Engineering Lead for Analytics Innovation

5 days ago


Dallas, Texas, United States Tiger Analytics Full time
About Us
Tiger Analytics is a pioneering AI and analytics consulting firm with a global presence. Our mission is to harness the power of data and technology to drive transformative solutions that impact millions worldwide.

Career Opportunities
This role presents an exceptional opportunity for growth in a dynamic, entrepreneurial environment with high individual responsibility.

Job Description
The Principal Data Engineer (Azure) will work on cutting-edge Azure projects, collaborating with cross-functional teams to develop scalable and metadata-driven data ingestion pipelines. Key responsibilities include designing high-performance data processing, orchestrating pipelines, and ideating tech stack decisions.

Requirements
To excel in this position, you should possess hands-on experience with Azure, Databricks, and data modeling. You will be responsible for building and learning various analytics solutions, platforms, and technologies. Required skills include expertise in Azure Data Factory (ADF), PySpark, Databricks, ADLS, and Azure SQL Database.

Nice to Have
A certification like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE) would be beneficial. Experience working on Data Lake & Lakehouse projects, building REST services, and implementing service-oriented architectures is also valuable.

Compensation Package
We offer a highly competitive compensation package, commensurate with expertise and experience. This includes salary range of approximately $180,000 - $250,000 annually, based on location.

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