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CI&T

WebsiteLinkedInAll Job Openings

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

• Explore, analyze, interpret and process large volumes of structured and unstructured data. • Build, maintain and evolve data pipelines using Databricks, Python, PySpark and SQL. • Support the structuring of modern cloud data environments, preferably Azure. • Work on organizing, standardizing, transforming, validating and provisioning data for analytical and operational consumption. • Identify patterns, inconsistencies, duplicates, information gaps and opportunities for improvement in datasets. • Perform descriptive, exploratory and comparative analyses to generate insights and support decision-making. • Investigate root causes of issues related to data quality, consistency, availability and reliability. • Apply data profiling, sampling, validation, dataset comparison and quality monitoring techniques. • Support or develop analytical automations to optimize routines, accelerate analyses and generate recommendations. • Use artificial intelligence concepts, agents and multi-agent systems to discover opportunities and support decision-making. • Build analytical reports, dashboards, executive presentations and leadership support materials. • Document methodologies, processes, business rules, hypotheses, pipelines, analyses and results in an organized manner. • Collaborate with technical teams, data teams, engineering, architecture, governance and business units. • Contribute to the evolution of data products, Data Mesh architecture and best practices for engineering, governance and data quality.

🎯 Requirements

• Experience as a Data Analyst, Data Engineer or in a similar role. • Experience with Databricks, including data engineering, processing and transformation. • Knowledge of Data Mesh architecture and concepts related to data products. • Experience building, maintaining and optimizing data pipelines. • Development experience using Python and PySpark for data handling, analysis, automation and processing. • Experience with SQL for querying, manipulating, analyzing and validating data. • Knowledge of data modeling, data quality, governance, data profiling and documentation best practices. • Experience working in cloud data environments, preferably Azure. • Experience analyzing and processing large volumes of structured and unstructured data. • Ability to create analytical reports, executive presentations and PowerPoint support materials. • Interest or experience with Generative AI, agents, multi-agent systems and modern data analysis techniques.

🏖️ Benefits

• Health and dental insurance; • Meal and food allowance; • Childcare assistance; • Extended parental leave; • Partnerships with gyms and health & wellness professionals via Wellhub (Gympass) TotalPass; • Profit-sharing (PLR); • Life insurance; • Continuous learning platform (CI&T University); • Employee discount club; • Free online platform dedicated to physical and mental health and well-being; • Pregnancy and responsible parenthood course; • Partnerships with online course platforms; • Language learning platform; • And many more