Develop, adjust, and evolve data pipelines using Databricks and PySpark.
Analyze processes migrated from legacy systems (SAS, Hive, Teradata) and perform necessary adjustments.
Identify bottlenecks and implement performance improvements in large-scale data processing.

Requirements:

Solid experience with Databricks.
Advanced experience with PySpark.
Experience with Python applied to Data Engineering.
Knowledge and practical experience with Git.

Differentials:

Experience or knowledge in SAS, Hive, or Teradata.
Experience in migration and modernization projects of legacy data platforms.

Benefits:

Health and dental plan.
Meal and food voucher.
Childcare assistance.
Extended parental leave.
Wellhub partnership.
Profit sharing.
Life insurance.
Continuous learning platform.

CI&T

CI&T helps large companies transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across 25+ countries, we accelerate innovation through expertise in agentic SDLC, application modernization, Data & AI, martech, and business strategy.

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