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Key Responsibilities:
- Technical Leadership: Lead multiple Data Engineering teams, foster collaboration, and provide mentorship to drive high performance.
- Data Engineering Excellence: Design scalable solutions with Databricks and cloud technologies, enforce coding standards, and conduct code reviews.
- Quality & Governance: Review deliverables, establish quality assurance processes for data integrity, and support sustainable architecture.
Required Qualifications:
- Advanced English, Bachelor's in Computer Science or related, and strong experience in Data Engineering.
- Hands-on expertise with Databricks, Apache Spark, cloud platforms (AWS, Azure, GCP), and Python/Scala/Java.
- Experience leading technical teams, mentoring engineers, and driving technical decisions.
Why Join CI&T?:
- Work on large-scale data transformation for global clients with modern technologies.
- Opportunity to influence technical strategy and mentor teams in a collaborative, growth-oriented environment.
- Extensive benefits including health, dental, meal allowance, childcare, extended paternity leave, and learning platforms.
CI&T
CI&T helps large enterprises transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated solutions. With 30 years of experience and 8,000 employees across 25+ countries, they foster a collaborative culture focused on innovation and growth.