Description

You will design and implement self-service data product deployment strategies and cloud-native data engineering workflows.

Responsibilities

• Design and implement self-service data product deployment strategies.
• Develop tooling for data product development, deployment, and monitoring.
• Build automated workflows for data engineering pipelines.
• Collaborate with software engineers, analysts, and data scientists to develop automation solutions.
• Lead methodology improvements to address capability gaps and increase efficiency.

Required Skills

• 5+ years of experience in Data Engineering.
• Proficiency in SQL, Python, Java, or Scala.
• Experience developing RESTful APIs.
• Hands-on experience with Docker and Kubernetes.
• Proven track record of delivering and scaling data products in production.
• Experience implementing data ingestion and testing automation solutions.
• Strong understanding of data and software engineering best practices and SDLC.

Preferred Skills

• Experience providing guidance to junior associates to support continuous improvement.

Key Skills

Education

Any Graduate