Big Data Engineer, Airflow/Snowflake

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September 19

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Sequoia Connect

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Recruitment • HR Tech • Enterprise

Sequoia Connect is a company that specializes in IT advisory and talent services particularly focused on digital transformation. They provide headhunting services for technology specialists, IT consulting, and recruitment process outsourcing. With operations spread across multiple countries including the USA, Mexico, India, and regions in Latin America, they connect technologists with global companies. They aim to optimize processes, reduce operating costs, and maintain high standards of technological innovation. Sequoia Connect supports digital transformation for both multinational corporations and agile startups, serving over 700 clients across 50+ countries.

11 - 50 employees

🎯 Recruiter

👥 HR Tech

🏢 Enterprise

📋 Description

• Design, build, and maintain ELT pipelines, orchestration, and integrations using S3, Apache Airflow, DBT Cloud, and Snowflake within an AWS cloud environment. • Develop modular Python code for reusable packages, scripting, and automation. • Implement and optimize SQL queries and Snowflake data models for performance and scalability. • Deploy container-based services in AWS with proper monitoring setup. • Integrate and process data from REST APIs to support analytical and operational needs. • Ensure data quality, governance, and implement cloud-native troubleshooting practices. • Collaborate with cross-functional teams to define and execute data engineering best practices.

🎯 Requirements

• 5+ years of experience in data engineering roles. • Proficient in Python for scripting, automation, and API interactions. • Strong SQL skills and Snowflake expertise, including performance tuning and data modeling. • Hands-on experience with Apache Airflow for workflow orchestration and monitoring. • Experience with dbt for modular, version-controlled data transformations. • Solid background with AWS services such as S3, Lambda, IAM, and CloudWatch. • Strong understanding of data quality, governance, and troubleshooting in cloud environments. • Languages Advanced Oral English. Native Spanish.