Senior Data Engineer

aKube • Calabasas, CA

3d • Onsite

About The Position

Design and build scalable batch and real -time data pipelines. Develop data ingestion, processing, and analytical workflows. Build data products and intelligent APIs. Ensure data quality, reliability, and performance. Collaborate with cross -functional teams to translate business needs into data solutions. Support cloud -based data architecture for BI and AI/ML use cases. Participate in code reviews and CI/CD practices.

Requirements

• Databricks
• Python
• Azure
• API development
• ETL pipelines
• DevOps and CI/CD
• Bachelor’s degree in a related technical field required.
• 8+ years of data engineering experience.
• Strong experience with Databricks, Spark, and cloud platforms.
• Proficiency in Python and SQL.
• Hands -on experience with Azure data services.
• Experience with REST APIs and DevOps practices.
• Agile development experience.

Responsibilities

• Design and build scalable batch and real -time data pipelines.
• Develop data ingestion, processing, and analytical workflows.
• Build data products and intelligent APIs.
• Ensure data quality, reliability, and performance.
• Collaborate with cross -functional teams to translate business needs into data solutions.
• Support cloud -based data architecture for BI and AI/ML use cases.
• Participate in code reviews and CI/CD practices.

What This Job Offers

• Career Level: Mid Level
• Number of Employees: 51-100 employees