Senior Data Engineer

Job not on LinkedIn

🔥 14 hours ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Onzze

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2021

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Onzze is an HR-tech company and recruitment partner that connects companies with qualified and diverse professionals using a proprietary talent-attraction platform and dedicated recruiting teams. They specialize in filling challenging technical and product-related roles quickly and accurately—delivering shortlists in days, weekly candidate flows, post-hire follow-up and replacement guarantees—serving startups to large enterprises across technology, product, marketing and data functions.

📋 Description

• Design and implement end-to-end medallion architecture in Databricks • Ingest data into Azure Data Lake Storage Gen2 and build Bronze, Silver, and Gold layers for batch and near-real-time sources • Ingest data from source systems into Azure, handling schema evolution, validation, and reprocessing • Use Unity Catalog for access control, data lineage, and data governance • Build and maintain CI/CD pipelines in Azure DevOps • Orchestrate production pipelines using Databricks Workflows • Share platform ownership with the Analytics Engineer and clearly document ownership and timelines • Manage ingestion, transformation logic, and the structure and quality of the Gold layer • Deliver a Gold layer that enables insights, BI, and assets ready for Data Science

🎯 Requirements

• Relevant experience in Data Engineering, including at least 3 years of hands-on experience with Databricks and medallion architecture in production • Proficiency in Python, SQL, and PySpark • Previous experience with Azure Data Lake Storage Gen2, Unity Catalog, Azure DevOps, and Databricks Workflows • Fluent English is required, as this role will work directly with a global program team • Nice to have: previous experience integrating Salesforce as a data source • Nice to have: Databricks certification, such as Databricks Certified Data Engineer Professional or Associate • Nice to have: experience in the automotive industry or in other regulated, multi-site manufacturing programs • Proactivity, direct communication, ownership, and genuine care