Consulting Cloud Architect, OpenShift
Red Hat
Design and deliver Red Hat OpenShift, Kubernetes, and hybrid cloud solutions for enterprise customers. Lead customer engagements focused on infrastructure, automation, and application delivery.
Open
SunnyData is a data engineering and AI consulting firm focused on Databricks. Its Databricks-certified engineers help organizations modernize data platforms, migrate legacy enterprise data warehouses and data lakes, and turn AI, machine learning, and generative AI initiatives into operational systems. The company also supports data governance and MLOps, with domain expertise spanning healthcare, financial services, and logistics.
Analytics BI Engineer - Hybrid in Uruguay
Build dashboards, SQL objects, and data models for SunnyData’s data engineering and AI consultancy. Turn business reporting needs into dependable, well-documented analytics solutions.
Description
- Build and maintain dashboards and reports in Power BI, Tableau, and Databricks AI/BI.
- Convert ticketed business requests into accurate, actionable data visualizations.
- Standardize definitions, metrics, and data logic across reporting assets.
- Improve query and dashboard performance, usability, and clarity.
- Record the logic and assumptions behind key metrics and dashboards.
- Develop and maintain database views, derived tables, and other analytical objects.
- Model and transform data to support dependable downstream reporting.
- Investigate discrepancies and verify data accuracy across systems.
- Contribute to improvements in data structures and warehouse organization.
- Deliver accurate, thoroughly documented dashboards within agreed SLAs.
- Build clean, reusable SQL objects for ongoing reporting requirements.
- Strengthen the clarity and consistency of metric definitions.
- Reduce reporting-request iterations through thoughtful implementation.
Requirements
- At least four years of relevant experience in analytics, business intelligence, or data engineering.
- Advanced SQL skills, including complex queries, joins, CTEs, aggregations, and window functions.
- Practical experience working with cloud-based data warehouses.
- Experience creating dashboards and reports with Looker, Tableau, or Power BI.
- Ability to convert business requirements into effective technical solutions.
- Careful attention to detail and disciplined data-validation practices.
- Experience managing business interactions, establishing standards, documenting KPIs and reports, optimizing large data models, and mentoring junior team members.
- Bachelor’s degree in Computer Science or an engineering-related discipline.
- English proficiency is required; the application provides Basic, Intermediate, and Advance levels.
- Eligible applicants must be based in LATAM—Uruguay, Argentina, or Mexico.
Benefits
- Opportunities to develop professionally and advance your career.
- Work with modern technologies and leaders in data engineering and AI.
- Collaborative environment centered on knowledge sharing.
- Equal-opportunity employer committed to fair, unbiased hiring.
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