Senior Data Engineer, Snowflake

This is a fully remote position, open to applicants in Latin America.

📋 Description

• Design and enhance data architectures that power intelligent products for global enterprises and Fortune 500 companies.

• Develop and sustain ETL processes based on Python.

• Craft efficient SQL queries to extract, manipulate, and analyze data.

• Design, construct, and optimize large-scale data pipelines utilizing Databricks and Snowflake.

• Automate manual processes and create techniques for data delivery, validation, and augmentation.

• Collaborate with stakeholders to convert data requirements into scalable solutions.

• Design and create API integrations to support data models.

• Architect and implement new features alongside AI/ML engineers, identifying data sources, gaps, and dependencies.

• Detect bugs and performance issues, employing monitoring and testing tools to ensure data integrity and quality.

• Build scalable infrastructure utilizing SQL and AWS big data technologies.

• Ensure data security and compliance with international data handling regulations.

• Nice to have: experience with graph data models or graph databases, such as Neo4j.

⛳️ Requirements

• Over 5 years of professional experience delivering high-quality, production-ready code.

• Solid foundation in computer science, including data structures and algorithms, operating systems, computer networks, databases, and object-oriented programming.

• Proficiency in Python.

• Experience establishing data pipelines using both relational SQL and NoSQL databases, including Postgres, Cassandra, or MongoDB.

• Extensive experience with data processing and warehousing tools such as Databricks and Snowflake.

• Familiarity with cloud platforms like AWS, GCP, or Azure.

• Experience with data processing and orchestration tools, such as Spark or Airflow.

• Proven track record of manipulating, processing, and extracting insights from large datasets.

• Expertise in version control systems, particularly Git.

• Strong analytical skills in relation to working with unstructured datasets.

• Excellent verbal and written communication abilities in English.

• Familiarity with graph technologies or graph-based data modeling is a plus.

🏝️ Benefits

• Ownership through equity participation.

• Annual company retreat.

• Education bonus to support continuous learning.

• Company-wide winter break.

• Paid time off.

• Optional in-person events and meetups.

• Customized career roadmaps.

• High-performance culture.