Senior Data Engineer, Databricks

🔥 4 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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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ASURIS

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2003

💼 Consulting

🔒 Cybersecurity

🤝 B2B

Consulting • Cybersecurity • B2B

ASURIS is a Brazilian IT services and solutions company that specializes in information security, cloud and IT infrastructure. For more than two decades it has acted as a systems integrator and managed-services provider offering consulting (security diagnostics, IAM, pentesting, cloud consulting), cloud migration and infrastructure management, network and backup solutions, outsourced IT staff and service-desk support, plus automation (RPA), BI and software development. ASURIS partners with major vendors (Fortinet, Microsoft, AWS, Aruba, Veeam, Dell) and focuses on delivering secure, compliant, and managed technology solutions to corporate clients.

📋 Description

• Migrate structures and data in Azure Databricks, including notebooks, clusters, and catalogs • Work with Unity Catalog, including schemas, tables, external locations, and data governance • Optimize ingestion and transfer processes for large volumes of data using ADLS Gen2, AzCopy, Delta, and Parquet • Manage notebook parameterization, including widgets, libraries, and cluster sizing • Automate routines using Python, PySpark, and SQL • Support validation, user acceptance testing, and troubleshooting in collaboration with technical teams and the vendor • Ensure data integrity, performance, and governance in mission-critical environments

🎯 Requirements

• Strong experience with Azure Databricks and PySpark/Python • Knowledge of Azure Data Lake Storage Gen2, ACLs, and AzCopy • Advanced proficiency in SQL and data engineering • Experience with Unity Catalog and data governance • Analytical, self-motivated professional with strong technical communication skills