Senior Data Developer, Analytics Engineer

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Logo of CI&T

CI&T

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

• Actively engage with business stakeholders to understand context, challenges, and underlying needs; translate complex requirements into clear, detailed technical specifications that enable effective use of AI and analytics platforms. • Take full responsibility for the data products you build — from ingestion through modeling, transformation, validation, to final delivery and ongoing monitoring. • Implement and maintain rigorous validation processes, automated testing, and quality checks; act as guardian of data accuracy and integrity, ensuring metrics and KPIs accurately reflect business reality. • Design and implement data transformation layers that pre-aggregate business information, apply consistent business rules, and deliver datasets ready for consumption in dashboards and AI applications. • Collaborate with AI teams to specify and prepare structured data, data dictionaries, and models that enable AI platforms and intelligent reporting capabilities. • Build and maintain data ingestion pipelines from multiple sources, implement transformations in SQL and Python, and ensure performance and scalability of solutions. • Go beyond fulfilling requirements — proactively identify improvement opportunities, anticipate internal customer needs, propose innovative solutions, and challenge approaches when necessary. • Deliver reliable data solutions with speed and precision, balancing the need for rapid iteration with the highest quality standards. • Articulate technical concepts clearly to non-technical audiences; facilitate alignments, present solution proposals, and document modeling and architecture decisions.

🎯 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 experience working with BigQuery (or other cloud-based data warehouse platform) • Demonstrated ability to understand complex business logic and validate results from a business perspective, not just technical • Strong sense of ownership and proactive mindset — a professional who proposes improvements, challenges requirements when necessary, and doesn't wait to be asked to act • Experience specifying and preparing data requirements for AI or machine learning applications • Advanced/fluent English (reading, writing, and conversation) — constant communication with international stakeholders is required • Track record of delivering high-impact projects quickly and with quality. • Nice to Have: Experience with dbt (data build tool) for transformation and orchestration of analytical pipelines • Familiarity with data ingestion tools such as Airbyte or Airflow • Knowledge of automated testing best practices and CI/CD for data pipelines • Prior experience in Supply Chain, Retail, or Consumer Goods industries • Experience in projects involving data preparation for consumption via generative AI or conversational analytics platforms • Experience building business-oriented analytical reports (web reporting, custom visualizations)

🏖️ Benefits

• Premium Healthcare • Meal voucher • Maternity and Parental leaves • Mobile services subsidy • Sick pay-Life insurance • CI&T University • Colombian Holidays • Paid Vacations

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