AGGRANDIZE
Cybersecurity • AI • 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.
Senior Data Engineer – Databricks
October 31
🗣️🇧🇷🇵🇹 Portuguese Required
AGGRANDIZE
Cybersecurity • AI • 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
• Act on automation and optimization of data flows and processes • Build technical solutions to ingest, process, and store data from multiple sources and various data formats (structured/unstructured data/files/XML or JSON/Parquet/APIs) • Perform activities related to the analysis, construction, and maintenance of data processes and structures • Carry out Architecture, Mapping, and Data Modeling activities • Maintain enterprise-level perspectives aligned with market best practices, solution blueprints, and solution designs • Advantage: experience in Artificial Intelligence solutions and GCP.
🎯 Requirements
• Experience in data projects • Experience with Databricks platform • Experience with Azure Data Factory • Programming experience - Python, SQL, PySpark • Experience in automation of data processes (ETL/ELT) • Experience with version control using Git • Experience with Azure Cloud, Data Factory, Synapse, ADLS Gen2, Delta Lake • Experience in data engineering and integration (e.g., ETL, APIs, microservices) • Experience in Linux environments, basic commands, shell scripting • Knowledge of Relational Databases and NoSQL • Knowledge of streaming processes with Event Hub • Knowledge of data representation formats and scripts such as JSON, XML, YAML.
🏖️ Benefits
• Meal/food allowance (VR/VA) of R$38/day (flex card) • Flex assistance of R$210/month (flex card) • TotalPass • Health and dental insurance • Life insurance • Profit sharing (PLR) • Birthday day off • Trainings and certifications sponsored by Aggrandize • Employee referral bonus program.
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