[Hiring] Azure Data Engineer @Sequoia Connect

Role Description

We are currently searching for an Azure Data Engineer:

• Design, build, and maintain highly scalable data pipelines utilizing Object-Oriented (OO) Python, shifting away from traditional notebook-centric development.
• Optimize Apache Spark data processing by deeply analyzing execution plans, identifying bottlenecks, and optimizing code (partitions, shuffle, caching) prior to scaling infrastructure.
• Design and optimize distributed data storage solutions, including data lakes, data warehouses, and distributed file systems within the Azure ecosystem.
• Enforce strong software engineering practices within data operations, including the creation of unit tests, CI/CD pipelines, deployment automation, and writing clean, maintainable code.
• Operate with a high degree of autonomy and ownership, working directly with client stakeholders to drive projects forward with minimal supervision.
• Act as a technical mentor to peers and communicate complex data architecture concepts clearly to both technical and business stakeholders.

Qualifications

• 4 to 6 years of professional experience in a Data Engineering or similar role.
• Strong proficiency (Level 4/5) in Databricks and Apache Spark, with a deep understanding of distributed processing mechanics.
• Advanced programming skills in Python (Level 4/5), specifically applied to Object-Oriented software development for Data Engineering.
• Solid hands-on experience (Level 3/5) with Azure Services (e.g., Data Lake, Data Factory).
• Proven track record implementing CI/CD automation and Agile methodologies utilizing tools like JIRA and Azure DevOps.
• High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
• Technologist DNA: A deep understanding of the difference between "coding" and "engineering."

Requirements

• Proven background in Data Processing Architecture.
• Familiarity with Generative AI applied to Data Engineering tasks.
• Experience with other cloud technologies, data governance, and business analysis.
• Familiarity with cloud-native foundations or AI coding assistants.
• Advanced Oral English.
• Native Spanish.

Benefits

• Fully remote.