AWS Data Engineer

Job not on LinkedIn

🔥 42 minutes ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sequoia Connect

WebsiteLinkedInAll Job Openings

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 maintain automated ETL pipelines using Python and Apache Airflow • Orchestrate pipelines to run sequentially or in parallel • Track pipeline runs and reprocess error records • Troubleshoot data pipeline errors and proactively fix issues • Export and import CSV, JSON, and XML data primarily from S3 or other cloud storage • Optimize complex SQL queries for performance in data warehouse technologies, preferably Snowflake • Generate code using Python configurations and Jinja templates • Implement CI/CD processes from scratch using GitHub • Collaborate with international teams across global delivery centers • Contribute to AI-driven automation and cloud solutions for financial, healthcare, and manufacturing clients

🎯 Requirements

• 10+ years of total experience with a 100% hands-on approach to the required technical stack • Advanced proficiency in Python concepts, including code structures, modules, packages, classes, subclasses, inheritance, multi-threading, and functional programming • Experience developing reusable Python packages • Advanced SQL skills, including complex joins, CTEs, and subqueries • Proficiency in Python unit, integration, and system testing • Proficiency implementing DBT tests for data validation and quality checks • In-depth understanding of AWS S3, ECS, and IAM • Knowledge of AWS security best practices, IAM roles, encryption standards, secure coding guidelines, and DBT profile access configurations • Experience using AI IDE tools such as Cursor or GitHub Copilot • Ability to write automated ETL processes and schedule jobs such as Airflow DAGs • Experience troubleshooting and fixing data pipeline errors • Experience exporting/importing CSV, JSON, and XML data from S3 or other cloud storage • Experience optimizing SQL queries for Snowflake • Experience generating code using Python and Jinja templates • Experience with GitHub and implementing CI/CD processes from scratch • Advanced oral English for collaboration with global teams • Advanced Spanish • High-performance mindset, resilience, emotional intelligence, and focus on agile delivery • Desired: AWS Lambda experience • Desired: Apache Airflow on AWS, including AWS service and DBT model integrations • Desired: API integrations with Salesforce, SFTP, SharePoint, OneDrive, and similar systems • Desired: Complex DBT models and custom DBT macros using Jinja and Python • Desired: AWS CloudWatch and Datadog familiarity • Desired: Cloud-native foundations or AI coding assistant familiarity

🏖️ Benefits

• Flexible work arrangement supporting lifestyle • Remote work option • Continuous learning opportunities • Exposure to high-impact projects and complex engineering challenges • Growth and professional development opportunities • Collaboration with international teams and global delivery centers