Empleos de data science remote
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Job Post Details
Este empleo caducó en Indeed
Entre otros motivos, esto podría deberse a que la empresa ya no acepta postulaciones, no está contratando de forma activa o está evaluando las postulaciones.Sr Data Engineer - job post
Mendoza, Mendoza
Ubicación
Mendoza, Mendoza
Descripción completa del empleo
The Role:
We are looking for a highly skilled Senior Data Engineer with a strong background in TypeScript, data architecture, and large-scale data engineering. This role involves designing and building robust data pipelines, developing efficient data structures, and collaborating closely with global teams to deliver high-quality, reliable data solutions. You will play a key role in shaping our data infrastructure, improving scalability, and supporting data-driven decision-making across the organization.
Responsibilities:
- Design, develop, and maintain data pipelines and ETL workflows to support analytics and business operations.
- Implement and optimize data scraping systems, ensuring accuracy, performance, and compliance.
- Architect scalable data storage solutions and ensure data consistency across multiple environments.
- Collaborate with software engineers and data scientists to integrate data systems and streamline data access.
- Troubleshoot data issues and implement solutions for performance optimization and data quality improvement.
- Develop tools and scripts (mainly in TypeScript) to automate and monitor data collection and transformation processes.
- Maintain a solid understanding of network protocols (IP, HTTP, TCP) and apply them in managing data flows and integrations.
Requirements:
- Bachelor’s degree in Computer Science, Information Systems, or a related technical field.
- 5+ years of professional experience in data engineering or a closely related role.
- Strong in TypeScript development (advanced knowledge required).
- Expertise in data structure design and problem-solving.
- Proven experience in data scraping, including handling APIs, web crawling, and large-scale data extraction.
- Solid understanding of IP, HTTP, and TCP protocols.
- Strong background in data architecture and data engineering principles.
- Experience with modern data technologies (e.g., SQL/NoSQL databases, cloud storage, data lakes, or data warehouses).
- Proficiency with ETL tools, data pipelines, and workflow orchestration frameworks (e.g., Airflow, Dagster, Prefect — a plus).
- Familiarity with Python or other scripting languages is an advantage.
- Excellent communication and collaboration skills, with the ability to work independently in a remote setup.
- Flexibility to work US business hours (3:00/4:00 PM – 12:00/1:00 AM Cairo time).
- Excellent English communication skills.
- This opportunity is remote for Egyptian applicants and Hybrid for Lebanese applicants.
Nice to Have:
- Experience with cloud platforms (AWS, GCP, or Azure).
- Exposure to data streaming tools (Kafka, Spark, etc.).
- Familiarity with data governance, security, and compliance best practices.
C - ST - 03122025
Wakapi Web
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