Senior Data Engineer

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October 28

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Yakú Argentina

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Recruitment • Non-profit • Education

Yakú Argentina is an organizational development and human capital consultancy based in Córdoba that supports civil society organizations and purpose-driven companies. They provide advisory and consulting in organizational design, cultural transformation, talent management, tailored training (leadership, emotional intelligence, storytelling, agile leadership), and equitable recruitment, onboarding and employer-branding services. Yakú emphasizes sustainable growth, inclusion, transparency and innovation to strengthen organizational impact and professional development.

1 - 10 employees

🎯 Recruiter

🤝 Non-profit

📚 Education

📋 Description

• Architect, develop, and maintain scalable data pipelines and ETL workflows. • Implement automated data quality checks and validation processes. • Work closely with product managers, data analysts, and business stakeholders to gather and understand data requirements. • Continuously monitor and optimize data systems for performance, scalability, and cost-efficiency. • Diagnose and resolve data-related issues promptly. • Maintain comprehensive documentation of data pipelines, ETL processes, and system architecture. • Participate in design and code reviews to uphold high engineering standards. • Stay abreast of emerging data engineering technologies, tools, and best practices. • Provide guidance and mentorship to junior data engineers.

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field. • Expert-level proficiency in SQL for querying, manipulating, and optimizing relational databases. • Strong programming skills in Python, including experience with data processing libraries such as Pandas. • Proficient in using PySpark for distributed data processing on large-scale datasets. • Deep understanding of ETL concepts and hands-on experience designing and implementing ETL pipelines. • Expertise in data modeling techniques to design logical and physical data models. • Experience working with relational database management systems (RDBMS) such as Oracle, MySQL. • Solid understanding of data warehousing concepts, architectures, and best practices. • Proficiency in Unix/Linux operating systems. • Ability to write shell scripts to automate routine tasks. • Experience implementing automated testing frameworks for data pipelines and ETL processes. • Proven experience as a Data Engineer or in a similar role, with a strong background in database development.

🏖️ Benefits

• Not specified