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WIZELINE

Data Engineer (Databricks)

WIZELINE Argentina

IT Services and IT Consulting · 1,001-5,000 employees

3 h ago
data-engineer Senior (5-10 yrs) Full-time Argentina
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About the role

Design, build, and maintain scalable data pipelines and data warehouse architectures. Collaborate with software engineers and data consumers to ensure data quality and system reliability.

What they look for

Data engineering Databricks ETL/ELT Data warehousing Data modeling Azure SQL Unity Catalog Distributed computing Data pipelines CI/CD Data governance Data security Stream processing Batch processing Systems thinking

Requirements

Requires proven experience in ETL/ELT processes, data modeling, and managing distributed computing systems. Proficiency in Azure, Databricks, and advanced SQL is essential for this role.

Benefits

Professional development Education program Career growth opportunities

Full description

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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