Data Engineer, Snowflake Focus

Job not on LinkedIn

🔥 9 minutes ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🗣️🇪🇸 Spanish Required

Where this job comes from

Posted on Sequoia Connect's careers page, not through a job board

First seen by Remote Rocketship 9 minutes ago

Logo of Sequoia Connect

Sequoia Connect

11 - 50 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

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.

📋 Description

• Design, develop, and optimize Snowflake data models and ELT processes • Design and implement end-to-end ELT pipelines using Fivetran • Implement data transformations using SQL and dbt • Optimize data loads and transformations using Snowflake micro-partitioning and clustering • Integrate Snowflake with external APIs using Fivetran • Manage GitHub source control and automate deployments across environments • Deploy Snowflake scripts, dbt models, and ELT pipelines • Create Streamlit apps for user enablement and maintenance tasks • Ensure data quality, governance, security, and documentation • Troubleshoot Snowflake data warehouse issues • Collaborate with data architects and business stakeholders to understand data requirements

🎯 Requirements

• Proven hands-on experience as a Snowflake Developer / Data Engineer in data warehousing solutions • Strong understanding of Snowflake platform features, including micro-partitioning, file processing from AWS S3, and data quality practices • Expertise in writing and optimizing SQL queries, including CTEs and JavaScript stored procedures within Snowflake • Solid experience with dbt and Python for data engineering tasks and automation • Familiarity with designing and managing data pipelines and ELT processes • Proven experience with Snowflake, SQL, dbt, Fivetran, Python, and API integrations • Proficiency with GitHub for source control and automated deployments • Hands-on experience specializing in data modeling and ELT pipelines • Excellent communication and problem-solving skills • Advanced Oral English • Advanced Spanish • Preferred: hands-on experience with AWS services (Lambda, SQS, SNS) and DevOps tools (CloudFormation, Terraform) • Preferred: experience with ETL tools like SnapLogic • Preferred: familiarity with legacy Microsoft SQL platforms and modernizing them to cloud-based solutions • Desired: familiarity with cloud-native foundations or AI coding assistants

🏖️ Benefits

• Flexible work arrangement • Remote work option • Continuous learning and growth opportunities • Exposure to high-impact projects • Collaboration within an international network of expertise • World-class project opportunities

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