Data Engineer, Mid-Level

Job not on LinkedIn

🔥 2 minutes ago

🇧🇷 Brazil – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.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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Rox Partner

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Rox Partner is a Brazilian technology consultancy focused on transforming data into strategic assets and protecting organizations from cyber threats. The company offers data engineering, data management, analytics, machine learning/AI, data platform modernization, DataOps/MLOps and data literacy services alongside managed IT, SOC/managed security, pentesting and security consulting. Rox Partner serves enterprise clients across health, finance, retail, telecom, industry and other sectors, and holds certifications like ISO 27001 and partnerships with Google Cloud, AWS and Microsoft.

📋 Description

• Develop and maintain end-to-end data pipelines covering ingestion, processing, transformation, modeling, and data delivery • Build queries and transformations using advanced SQL and BigQuery • Develop and maintain data models using Dataform or dbt • Create ingestion and automation routines using Python, including the implementation of automated tests • Develop and monitor processing and orchestration workflows using Apache Airflow, preferably Cloud Composer • Integrate with and use Google Cloud Platform services, including Cloud Storage, Cloud Functions, and IAM • Implement data quality, validation, testing, and process monitoring practices • Work with code version control using Git and Pull Request workflows • Support the organization and delivery of data to consumption layers and analytics tools • Provide support, when necessary, for the solution's initial configuration, including user and access management • Document operational procedures and keep runbooks up to date • Collaborate with business teams to understand their needs and support the evolution of data solutions

🎯 Requirements

• Experience in Data Engineering, working end to end from ingestion through the consumption layer • Advanced SQL skills and experience with BigQuery • Experience with data transformation and modeling using Dataform or dbt • Knowledge of Python applied to data ingestion and process automation • Experience developing automated tests • Knowledge of Apache Airflow, preferably using Cloud Composer • Experience with Google Cloud Platform services, especially Cloud Storage, Cloud Functions, and IAM • Knowledge of data quality practices and pipeline validation • Experience with code version control using Git and Pull Request workflows • Preferred: experience with Apache Superset • Preferred: knowledge of or experience implementing Row-Level Security (RLS) • Preferred: experience with access control and data segregation by client • Preferred: knowledge of user and access management, including SSO and MFA • Discipline in following operational procedures and keeping runbooks up to date • Strong communication and collaboration skills with business teams • Interest and initiative in identifying and automating operational activities

🏖️ Benefits

• Contractor engagement (PJ arrangement)

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