Senior Data Engineer

🔥 15 hours ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 13%

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• Open for 1 day.
• Jobs at this company usually fill in 35 days.
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GFT Technologies

WebsiteLinkedInAll Job Openings

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

• Develop, maintain, and optimize notebooks, pipelines, and data transformation processes using Databricks. • Contribute to the development and evolution of ETL processes, ensuring integration across different data sources. • Develop Python scripts for data processing, validation, and handling. • Create, optimize, and maintain SQL queries and routines related to SQL Server databases. • Build, monitor, and maintain data pipelines, ensuring process availability and reliability. • Investigate failures, perform troubleshooting, and implement solutions for processing incidents and issues. • Contribute to the continuous improvement of data quality, governance, and performance. • Implement development best practices, version control, and monitoring for data processes. • Collaborate with cross-functional teams to deliver data-driven solutions.

🎯 Requirements

• Hands-on experience with Databricks in developing, maintaining, and optimizing notebooks and pipelines. • Strong knowledge of Python for data manipulation, processing, and validation. • Experience with SQL Server, including SQL queries, joins, stored procedures, and query optimization. • Experience with ETL (Extract, Transform, Load) processes. • Experience building, maintaining, and monitoring data pipelines. • Ability to troubleshoot, investigate failures, and resolve problems. • Knowledge of Azure Data Factory (ADF) for creating, orchestrating, and monitoring pipelines. • Familiarity with the Microsoft Azure ecosystem and its data storage and processing services. • Knowledge of PySpark, Apache Spark, and Delta Lake. • Knowledge of integrating different data sources and processing data. • Experience with Git and code version control. • Knowledge of data engineering development best practices. • Experience optimizing performance and data quality.

🏖️ 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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