Senior Data Engineer, DataBricks, Data Privacy – LGPD

Posted 19hrs ago

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Job Description

Senior Data Engineer supporting Databricks integration with focus on data privacy and governance. Working with cross-functional teams to ensure compliance with LGPD requirements.

Responsibilities:

  • 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!