Senior Data Engineer, DataBricks, Data Privacy – LGPD

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CI&T

5001 - 10000 employees

Founded 1995

🤖 Artificial Intelligence

☁️ SaaS

💰 $5.5M Venture Round on 2014-04

Artificial Intelligence • Cloud Services • SaaS

CI&T is a global tech transformation specialist focusing on helping organizations navigate their technology journey. With services spanning from application modernization and cloud solutions to AI-driven data analytics and customer experience, CI&T empowers businesses to accelerate their growth and maximize operational efficiency. The company emphasizes digital product design, strategy consulting, and immersive experiences, ensuring a robust support system for enterprises in various industries.

📋 Description

• Act as a technical advisor for the integration between Databricks and data privacy/governance tools. • Support the configuration of connectivity, access permissions, metadata, and security requirements within Databricks. • Guide and validate data discovery, classification, and scanning processes across the Data Lake. • Provide expertise on Databricks data structures, access patterns, and security models. • Collaborate with engineering and business teams to ensure data integrity, usability, and compliance. • Document data architectures, workflows, and technical processes. • Support troubleshooting and provide technical guidance on data-related challenges. • Contribute to Data Lake and Data Warehouse architecture discussions and best practices.

🎯 Requirements

• Experience in Data Engineering or related roles. • Advanced English (C1 or above), both written and spoken- mandatory • Hands-on experience with Databricks (required), including: • Data structures and Delta tables • Access control and security model • Connectors and metadata management • Strong knowledge of SQL and Apache Spark. • Experience with modern cloud-based data engineering environments. • Experience with Data Lake and Data Warehouse architectures. • Knowledge of dimensional data modeling. • Experience with CI/CD pipelines for data and ETL processes. • Familiarity with data privacy and compliance concepts such as LGPD and GDPR. • Nice to Have • Databricks certification. • Experience with Azure and/or AWS. • Experience with Unity Catalog and Data Governance practices. • Knowledge of Data Quality frameworks and processes. • Experience with data privacy, governance, discovery, or classification platforms. • Experience supporting scanning and classification tools integrated with cloud data platforms. • Experience working with international clients. • Knowledge of Power BI.

🏖️ Benefits

• Health and dental insurance • Meal and food allowance • Childcare assistance • Extended paternity leave • Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass; • Profit Sharing and Results Participation (PLR); • Life insurance • Continuous learning platform (CI&T University); • Discount club • Free online platform dedicated to physical, mental, and overall well-being • Pregnancy and responsible parenting course • Partnerships with online learning platforms • Language learning platform • And many more!

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