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Mid-Level Data Engineer

🔥 11 hours ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🗣️🇧🇷🇵🇹 Portuguese Required

Where this job comes from

Posted on GFT Technologies's careers page, not through a job board

First seen by Remote Rocketship 11 hours ago

Still open on GFT Technologies's site. Checked 13 minutes ago.

Logo of GFT Technologies

GFT Technologies

10,000+ employees

Founded 1987

💼 Consulting

🛡️ Insurance

🔒 Cybersecurity

Consulting • Insurance • Cybersecurity

GFT Technologies is a leading technology and digital transformation company that specializes in providing advanced solutions for consent management and data privacy compliance. Their flagship product, Cookiebot, enables businesses to automate user consent collection efficiently, ensuring adherence to complex privacy regulations such as GDPR and CCPA. GFT's solutions facilitate seamless integration into existing digital infrastructures, helping over 600,000 customers globally manage user data transparently and securely.

📋 Description

• Collect, clean, and transform raw data into usable formats for analysis. • Develop and maintain efficient, scalable data pipelines. • Manage, model, and use relational databases (SQL), non-relational databases (NoSQL), and data warehouses. • Collaborate with other analytics professionals to deliver actionable insights. • Participate in requirements-definition and planning meetings. • Follow and implement best practices and standards. • Contribute to project design and architecture by suggesting improvements and optimizations. • Work on the development and architecture of complex, scalable data systems in collaboration with multidisciplinary teams.

🎯 Requirements

• Intermediate knowledge of Databricks. • Knowledge of Azure tools (Azure Data Factory, Azure Databricks, ADLS, Event Hubs). • Programming skills in Python and Parquet. • Understanding of Data Lake zones (Bronze, Silver, and Gold). • Knowledge of Data Governance and Data Domain concepts. • Proficiency in relational databases (SQL, MySQL, PL/SQL, PostgreSQL, SQL Server) and non-relational databases. • Ability to learn and follow established work practices and DevOps standards. • Ability to identify problems and drive their resolution. • Knowledge of Microsoft Azure. • Knowledge of Big Data/streaming technologies (Spark). • Azure certifications (e.g., Microsoft Certified: Azure Data Engineer Associate) are a plus. • Databricks Associate certification is a plus. • Knowledge of NoSQL databases (e.g., Cassandra, Cosmos DB) is a plus. • Proficiency with event-streaming platforms (e.g., Event Hubs, Kafka) is a plus.

🏖️ Benefits

• Flexible benefits card – choose how and where to use it. • Tuition assistance for undergraduate, graduate, MBA, and language courses. • Certification incentive programs. • Flexible working hours. • Competitive salaries. • Annual performance review with a structured career development plan. • International career opportunities. • Wellhub and TotalPass. • Private pension plan. • Childcare assistance. • Medical insurance. • Dental insurance. • Life insurance.

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