Senior Data Engineer, Databricks

Job not on LinkedIn

🔥 8 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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AGGRANDIZE

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

🔒 Cybersecurity

🤖 Artificial Intelligence

🏢 Enterprise

Cybersecurity • Artificial Intelligence • Enterprise

AGGRANDIZE is a technology company focused on transforming business challenges into solutions through innovation and expertise. Since 2015, AGGRANDIZE has been offering a wide range of services including Modern Applications, Platform Engineering, Cyber Security, Data Analytics, and Artificial Intelligence. With a team of certified professionals, the company aims to enhance the operations and success of its clients and partners.

📋 Description

• Work in development squads, contributing to the definition and evolution of data solutions • Gather and understand requirements in collaboration with business teams • Participate in tactical and strategic alignment meetings related to the area of responsibility • Develop and enhance data pipelines using Databricks and Azure Data Factory • Support the definition and evolution of data architecture • Contribute to the design and structuring of a lakehouse, considering data layers and organizational best practices • Contribute to technical decisions and guidance related to data solutions

🎯 Requirements

• More than 5 years of solid experience developing with Databricks • Experience with Azure Data Factory • Experience with data modeling • Knowledge of lakehouse architecture and structuring • Knowledge of defining and organizing data layers • Experience developing and maintaining pipelines using Azure Data Factory and/or Databricks • Ability to work in development environments organized into squads • Bachelor’s degree • Adaptability • Collaboration • Ownership mindset • Customer focus

🏖️ Benefits

• Meal and food allowance of R$39.71 per day (flexible benefits card) • Flexible allowance of R$210 per month (flexible benefits card) • TotalPass • Health and dental insurance • Life insurance • Profit-sharing bonus • Birthday day off • Training and certifications funded by Aggrandize • Employee referral reward program • Career development path