Data Engineer - Ingeniero de Datos

• Design, develop, implement, and maintain data pipelines, including their architecture, tools, and technologies.
• Identify manual processes and develop automation solutions that improve efficiency, scalability, data quality, and operational reliability.
• Integrate data from customers, providers, databases, applications, and other sources, collaborating with DBAs, technology teams, analytics, and product development.
• Create datasets for modeling, data mining, analysis, and production software applications.
• Ensure that database architectures support the functional and non-functional requirements of products, analysis, and ad hoc research.
• Use different languages and tools to connect systems and information sources.
• Execute recurring and ad hoc processes; perform cleaning, profiling, validation, and anomaly detection in data.
• Manage data migrations and conversions, as well as diagnose and resolve processing issues.
• Establish and maintain quality controls, monitoring, and validation frameworks to ensure accurate and reliable datasets.
• Provide second-level support and general support for data pipelines and systems, including access administration.
• Protect data confidentiality and comply with security standards, regulatory requirements, and internal policies.
• Document architectures, designs, business rules, configurations, and support procedures.
• Research new technologies and recommend improvements that increase the reliability, efficiency, and quality of data processes.
• Communicate progress, risks, and incidents in a timely manner and participate in training and development programs.

Requerimientos

• Minimum education: Higher education - Bachelor's degree
• 3 years of experience
• Languages: English
• Knowledge: Problem solving, Automation, Database, Python, Sql
• People with disabilities: Yes
• Keywords: data, engineers, ingeniera, ing, engineer