Senior Data Engineer with Databricks Expertise
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Job Description
Elevate your career as a Senior Data Engineer utilizing Cloud platforms like Databricks and Azure. Engage in hands-on development and consulting within a hybrid work environment.
This role emphasizes strong data engineering skills, particularly with modern cloud technologies. You will be responsible for creating optimal data solutions tailored to client needs, designing robust lakehouse architectures, and developing pipelines for analytics. Collaboration with various teams is essential to ensure project success and deliver innovative solutions.
Key Responsibilities:
- Design high-performance data solutions for clients
- Develop and optimize data pipelines and lakehouse architectures
- Implement transformations using SQL, Python, and Spark
- Set up data ingestion solutions such as APIs and files
- Contribute to advanced analytics, AI, and ML use cases
Requirements
- Bachelor's or equivalent degree in IT or Engineering
- 7+ years in data engineering or cloud environments
- Proficiency in Databricks, SQL, and Python
- Experience with at least 2 modern data platforms
- Strong client-facing and communication skills
Leverage modern technologies to drive impactful data solutions while collaborating with diverse teams.
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