Data Engineer (Databricks)

Wizeline · Argentinamid

In short

▸Construyes y mantienes pipelines de datos escalables en Databricks y Azure.
▸Trabajas con datos vectoriales, modelos de datos y contratos de datos para garantizar calidad y consistencia.
▸Destaca por usar herramientas de IA para optimizar procesos de ingeniería de datos.

Nivel intermedio de inglés requerido para colaborar con equipos globales.

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What they ask for

✓Experiencia en construir pipelines ETL/ELT escalables.
✓Diseño y mantenimiento de almacenes de datos y data lakes.
✓Conocimiento en modelado de datos (esquemas estrella, data vault).
✓Gestión de sistemas de computación distribuida con grandes volúmenes de datos.
✓Orquestación de flujos de datos y práctica de CI/CD.
✓Meticuloso con calidad, precisión y fiabilidad de los datos.

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AzureDatabricksAsset BundlesUnity CatalogAdvanced SQLDaaSData ContractsRelational DatabasesNon-Relational DatabasesVersion Control

Who should you write to at Wizeline?

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The Company Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact. With the right people and the right ideas, there's no limit to what we can achieve. Are You a Fit? To be successful in this role, you must have: • Experience: Proven experience designing, building, and maintaining scalable data pipelines (ETL/ELT processes); background in designing and implementing data warehouse architectures and data lakes; experience managing distributed computing systems and handling large-scale, high-throughput datasets; demonstrated experience in data modeling (e.g., dimensional modeling, star schemas, data vault). • Technical Skills: Advanced relational and non-relational database design and optimization; stream and batch data processing paradigms; data pipeline orchestration and workflow management; cloud infrastructure paradigms and data security/governance best practices; version control and CI/CD principles. • Tech Stack: Azure / Databricks (Asset Bundles, Unity Catalog), Advanced SQL, DaaS / Data Contracts. • Systems Thinking: Ability to see how individual data pipelines impact the entire organizational ecosystem. • Meticulousness: A fierce commitment to data quality, accuracy, and system reliability. • Collaboration: Ability to bridge the gap between software engineers (who generate data) and data consumers (who use it). Nice-to-Have Skills • AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including workflow automation, data processing, or research. Identify opportunities to streamline data engineering processes. About Us Wizeline prioritizes a culture of diversity and development for its nearly 2,000 person team spread across the globe. We believe great technology comes from a mix of talents and perspectives. Our core values of ownership, innovation, community, and inclusivity are central to our work. Wizeline is invested in its employees' growth, offering opportunities to create personalized career paths and develop in-demand skills. We even have a free education program, Wizeline Academy, to help both employees and the broader community upskill in tech. Apply now!

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