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Key Responsibilities:
- Manage platform data to ensure integrity, availability, and consistency across the data lifecycle.
- Orchestrate ETL processes by automating data flows between source systems and analytical environments.
- Build event-driven data architectures to support real-time data capture and processing.
Technical Requirements:
- Strong back-end programming skills for data pipelines, proficiency in Python and/or Node.js.
- Deep SQL knowledge for large-scale data manipulation, modeling, and optimization.
- Experience with NoSQL databases and cloud data warehouses like BigQuery and Firestore.
Cloud & Tools:
- Solid understanding of cloud computing (AWS, Azure) and Google Cloud Platform Big Data solutions.
- Experience with pipeline orchestration tools like dbt, Airflow, and Dataform.
- Familiarity with data governance frameworks such as DAMA and CRISP.
CI&T
CI&T helps large enterprises harness AI for real business impact through AI deployment, AI-native execution, and tech-integrated business solutions. With 8,000 employees across over 25 countries, the company fosters a collaborative and innovation-driven culture focused on digital transformation.