Postúlate en Kit Empleo: kitempleo.com.ar/empleo/q0pea

Description
Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference.
As a Lead Data Engineer (VP) at Empresa confidencial within Cloud Foundational Services, you are an integral part of an agile team that works to enhance, build, and deliver advanced data engineering, analytics, and applied machine learning solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for designing and maintaining critical data pipelines, reporting datasets, and AI-driven architectures across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Lead the design, development, and optimization of complex SQL and PL/SQL solutions, with a strong focus on Oracle Database environments.
- Generate and maintain reusable reporting datasets to support multiple dashboards, reports, and business use cases, ensuring data quality, completeness,



and consistency.
- Deliver data collection, storage, access, analytics, and machine learning platform solutions in a secure, stable, and scalable way.
- Implement and oversee database backup, recovery, and archiving strategies, ensuring data integrity and security.
- Collaborate closely with data analysts, product managers, and business stakeholders to gather requirements and translate them into efficient database views and curated data layers for reporting and API consumption.
- Evaluate and report on access control processes to determine effectiveness of data asset security with minimal supervision.
- Design, implement, and maintain materialized views, indexing, and schema changes for performance optimization and data aggregation.
- Build and maintain clear KPI, metric, and dimension logic with consistent business meaning, simplifying and standardizing reporting logic for maintainability and reuse.

Postúlate en Kit Empleo: kitempleo.com.ar/empleo/q0pea

📌 Lead Data Engineer (Buenos Aires)
🏢 Importante grupo
📍 Buenos Aires