Data Engineer

Job not on LinkedIn

🔥 16 hours ago

💃 Latin America – Remote

💵 $2k - $2.5k / month

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 4%

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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GoFasti

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

GoFasti is a company specializing in connecting businesses with top-tier talent from Latin America for remote work. They offer a comprehensive service that includes sourcing, vetting, and managing hiring processes for roles such as developers, designers, engineers, medical billers, and social media managers. GoFasti emphasizes forming dedicated remote teams to help companies reduce labor costs and eliminate hiring hassles, while ensuring compliance with Latin American tax and labor laws. They promise quick candidate matching, with a focus on seamless integration into client workflows.

📋 Description

• Own data workflows end to end, including ingestion, storage, orchestration, transformation, validation, and delivery • Build and maintain inbound and outbound data transfers using cloud storage, secure file transfer protocols, and other integration methods • Develop and maintain ETL and ELT pipelines using workflow orchestration and event-driven processing • Manage data across cloud storage, data warehouses, and analytical databases • Design and optimize data models, schemas, queries, and transformations • Own custom datasets supporting large clients and company partnerships, including their sources, business definitions, lineage, and downstream dependencies • Partner with Customer Success, Operations, and Engineering to clarify requirements, investigate discrepancies, and communicate technical constraints and data behavior • Implement and maintain data quality checks, automated tests, monitoring, and alerts • Troubleshoot production issues across transfers, pipelines, and databases; identify root causes and implement lasting fixes • Maintain documentation covering data flows, dataset definitions, architectural decisions, and operational recovery procedures • Evaluate technical approaches through research and prototypes, explaining tradeoffs in reliability, performance, cost, and maintainability • Apply access controls and secure data handling practices throughout the data lifecycle

🎯 Requirements

• English proficiency • Experience building, maintaining, and troubleshooting production data pipelines • Strong Python skills for data processing, automation, and integrations • Strong SQL skills, including complex transformations, query optimization, and diagnosing data discrepancies • Practical understanding of ETL and ELT patterns, workflow orchestration, and pipeline recovery • Experience with cloud object storage and file-based data transfers, including familiarity with SFTP • Experience designing data models and working with relational databases, including schemas, indexes, and query performance • Ability to trace data from its source through transformations to downstream outputs and explain technical behavior and business meaning • Ability to independently investigate problems, evaluate solutions, and support technical recommendations with evidence • Clear communication skills and experience collaborating with technical and nontechnical teams • Experience with AWS, particularly Amazon S3 and AWS Lambda (plus) • Experience with Apache Airflow or a comparable orchestration platform (plus) • Experience with PostgreSQL, Amazon Redshift, or ClickHouse (plus) • Experience managing custom datasets or integrations supporting enterprise customers or business partnerships (plus) • Familiarity with marketing analytics or first-party customer data (plus)

🏖️ Benefits

• Remote work • Full-time contract through a payroll platform