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Responsibilities:
- Actively engage with business stakeholders to understand context and translate requirements into technical specifications.
- Take full responsibility for data products from ingestion through modeling, validation, and delivery.
- Implement rigorous validation processes and ensure data accuracy and integrity.
Requirements:
- Proven experience in a Data Engineering or Analytics Engineering role at senior level.
- Advanced proficiency in SQL and Python for data analysis, transformation, and validation.
- Solid experience in data modeling and data warehouse design, hands-on with BigQuery.
Nice to Have:
- Experience with dbt for transformation and orchestration of analytical pipelines.
- Familiarity with data ingestion tools such as Airbyte or Airflow.
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 accelerate innovation and collaborate to build impactful solutions.