Master Data Engineer

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CI&T

WebsiteLinkedInAll Job Openings

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

• Lead technical initiatives for large-scale data modernization and migration. • Define data architectures using Databricks Lakehouse and Microsoft Azure. • Assess legacy environments and determine the best strategy for migrating, refactoring, or decommissioning workloads. • Design modern data pipelines, ETL/ELT processes, and orchestration strategies. • Establish architecture, quality, governance standards, and engineering best practices. • Ensure data quality and consistency throughout the migration process. • Collaborate with architects, Data Engineers, Databricks specialists, and client teams to deliver high-quality outcomes. • Act as the project’s technical reference, supporting architectural decisions and mentoring other engineers. • Contribute to automation initiatives and the use of Artificial Intelligence to accelerate migration processes.

🎯 Requirements

• Strong experience as a Senior Data Engineer, Data Architect, or in technical leadership roles within Data Engineering. • Deep knowledge of SQL Server, including T-SQL, SSIS, stored procedures, SQL Agent jobs, and legacy environments. • Hands-on experience with Databricks, Apache Spark, Delta Lake, and Lakehouse architectures. • Experience with Microsoft Azure (ADLS Gen2, Azure SQL, AKS, and related services). • Proven experience in migration, modernization, or data platform transformation projects. • Knowledge of data modeling, ETL/ELT pipelines, and orchestration of workflows. • Ability to make architectural decisions and act as a technical reference for multidisciplinary teams. • Excellent communication skills for interacting with clients and global teams. • Advanced English. • Experience with Apache Airflow or Databricks Workflows is a plus. • Experience migrating large-scale SSIS environments. • Knowledge of Oracle, PySpark, Sqoop, or Hadoop ecosystems. • Experience with automated migration tools and AI applied to code conversion. • Databricks, Azure, or related Data Engineering certifications.

🏖️ Benefits

• Health and dental insurance; • Food and meal allowance; • Childcare assistance; • Extended parental leave; • Partnerships with gyms and health & wellness professionals via Wellhub (Gympass) / TotalPass; • Profit Sharing (PLR); • Life insurance; • Continuous learning platform (CI&T University); • Discount club; • Free online platform dedicated to physical and mental health and wellbeing; • Pregnancy and responsible parenting course; • Partnerships with online course platforms; • Language learning platform; • And many more