Junior Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟢 Junior

🚰 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

• Assist in building and maintaining ETL pipelines using Python and PySpark • Support development of workflows using AWS Glue, Lambda, and Step Functions • Work with cloud data storage platforms including S3, Redshift, RDS, and Oracle • Write SQL queries for data extraction, transformation, validation, and reporting • Help implement monitoring, logging, and error handling for data pipelines • Support ingestion and processing of data from APIs and JSON payloads • Collaborate with software engineers, data analysts, and business stakeholders • Contribute to code management, technical documentation, and deployment support

🎯 Requirements

• Degree holders for the visa application process • 0 to 4 years of software development or data engineering experience across relevant cloud platforms • Good knowledge of Python and SQL • Solid understanding of AWS services, specifically S3, SNS/SQS, EMR, Glue, Lambda, Redshift, and Step Functions • Strong grasp of ETL concepts and data processing fundamentals • Familiarity with GitLab, Terraform, and the Software Development Life Cycle (SDLC) from development to production • Familiarity with PySpark, AWS managed services, data engineering best practices, and code optimization • Advanced Oral English • Advanced Spanish • Good analytical, problem-solving, and communication skills • Internship, project, or academic experience specifically in cloud computing, analytics, or data engineering is desired • Familiarity with cloud-native foundations or AI coding assistants is desired

🏖️ Benefits

• Continuous learning opportunities • Exposure to high-impact projects and complex engineering challenges • Growth-focused workplace • Flexible work arrangement • Remote work option