Data Warehouse Engineer

Job not on LinkedIn

🔥 13 hours ago

🇦🇷 Argentina – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 21%

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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MULTI SEAL Tire Sealants

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 1981

🏭 Manufacturing

💼 Consulting

📦 Logistics

Manufacturing • Consulting • Logistics

MULTI SEAL Tire Sealants is a company specializing in tire sealant products designed for industrial and recreational applications. Their products provide solutions to prevent air loss in tires, enhancing safety and performance for vehicles used in demanding environments. They focus on non-passenger vehicle tire sealants, offering a range of options tailored to industrial and lifestyle uses.

📋 Description

• Design, build, and maintain scalable, high-performance data warehouse solutions using modern cloud and on-premise technologies • Develop, schedule, and monitor ETL/ELT pipelines using Apache Airflow and dbt • Optimize data models, queries, and storage strategies for performance, scalability, and reliability • Implement and enforce data quality, validation, and governance standards • Collaborate with data analysts, engineers, and business stakeholders to translate analytical requirements into data solutions • Enhance and automate data workflows using Airflow, dbt, and other modern frameworks • Manage AWS Linux controls for data warehouse setup • Support data-driven decision-making across the organization

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related technical field (Master’s preferred) • 3+ years of experience designing, developing, and maintaining data warehouses and ETL/ELT workflows in production environments • Proficiency in SQL and strong experience with data modeling, schema design, and performance optimization • Hands-on experience with Airflow, dbt, and AWS cloud-based data platforms such as Snowflake and Redshift • Hands-on business project experience with Python, C, C++, or Java • Strong analytical and problem-solving skills • Ability to work collaboratively across cross-functional teams in a fast-paced, data-driven environment • Must not have had disciplinary actions regarding attendance, conduct, or performance in the past 90 days, and must not be approaching such action • Experience using Excel, Google Sheets, Slack • Experience with Airflow, dbt, Linux, and PostgreSQL • AWS cloud practitioner or engineer certificates are a plus • Resume must be submitted in English • High speed Wi-Fi connection • Ability to work in US timezone shifts, such as EST, CST, MST, or PST

🏖️ Benefits

• High speed Wi-Fi connection • Opportunity to work remotely from Argentina • Work in an entrepreneurial environment • Opportunity to contribute to a growing e-commerce company • Exposure to modern cloud and data engineering technologies