Job Description
Drive groundbreaking data solutions at Egen as a Lead Data Engineer. Utilize your expertise in Spark and Google Cloud to architect scalable cloud-native data pipelines.
Join Egen, a rapidly expanding company, and lead the Data Engineering teams in building robust data pipelines leveraging cloud services like Google Cloud and AWS. In this leading role, you will define data contracts, architect solutions, and implement analytics applications while collaborating in agile environments. Your focus on innovation will help clients extract actionable insights from rich datasets.
Key Responsibilities:
• Architect and implement cloud-native data pipelines
• Lead development of resilient ETL/ELT processes
• Define specifications and write REST APIs
• Transform data using modern PySpark practices
• Collaborate in agile teams for efficient delivery
Requirements:
• Extensive experience with data pipelines in production
• Proficiency in building analytics applications
Join Egen, a rapidly expanding company, and lead the Data Engineering teams in building robust data pipelines leveraging cloud services like Google Cloud and AWS. In this leading role, you will define data contracts, architect solutions, and implement analytics applications while collaborating in agile environments. Your focus on innovation will help clients extract actionable insights from rich datasets.
Key Responsibilities:
• Architect and implement cloud-native data pipelines
• Lead development of resilient ETL/ELT processes
• Define specifications and write REST APIs
• Transform data using modern PySpark practices
• Collaborate in agile teams for efficient delivery
Requirements:
• Extensive experience with data pipelines in production
• Proficiency in building analytics applications