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Home›Jobs›CI&T›[Job- 26902] Mid Level Data Engineer, Brazil
CI&T

About CI&T

Transforming businesses through technology and innovation

🏢 Tech👥 5K-10K📅 Founded 1995📍 New York, New York, United States

Key Highlights

  • Headquartered in New York, NY, with a global presence
  • 5,000+ employees across multiple countries
  • Partners with leading brands like Coca-Cola and Nestlé
  • Focus on AI/ML, cloud computing, and agile development

CI&T is a global digital transformation company headquartered in New York, specializing in software engineering and IT services. With over 5,000 employees, CI&T partners with major brands like Coca-Cola, Johnson & Johnson, and Nestlé to deliver tailored solutions in areas such as AI/ML, cloud comput...

🎁 Benefits

CI&T offers competitive salaries, equity options, a generous PTO policy, and flexible remote work arrangements. Employees also benefit from a learning...

🌟 Culture

CI&T fosters a culture of innovation and collaboration, emphasizing agile methodologies and a customer-centric approach. The company values diversity ...

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CI&T

[Job- 26902] Mid Level Data Engineer, Brazil

CI&T • Brazil

Posted 18h agoMid-LevelData engineer📍 Brazil
Apply Now →

Skills & Technologies

AzureAzure data factorySQL

Overview

CI&T is seeking a Mid-Level Data Engineer to support the build and operation of Azure-based data pipelines. You'll work with Azure Data Factory and SQL to deliver reliable datasets. This role requires hands-on experience with data engineering and cloud technologies.

Job Description

Who you are

You have several years of data engineering experience, demonstrating a solid understanding of building and maintaining data pipelines. Your hands-on experience with Azure Data Factory has equipped you with the skills to implement SQL-based transformations and data cleansing logic effectively. You are comfortable ingesting data from various sources, including APIs and relational databases, and you have a keen eye for data validation and reconciliation. Your ability to document pipelines and transformations ensures that your work is well-structured and easily understandable by others. You thrive in collaborative environments, working under the guidance of senior engineers while contributing your insights and expertise. You possess an advanced level of English, enabling you to communicate effectively in a diverse team.

Desirable

While not mandatory, exposure to financial or operational reporting data would be beneficial. Experience supporting business intelligence or analytics use cases is a plus, as is familiarity with data quality or testing frameworks. You understand the importance of following defined patterns and engineering standards to ensure the reliability of your work.

What you'll do

In this role, you will be responsible for building and maintaining Azure Data Factory pipelines, ensuring they run smoothly and efficiently. You will implement SQL-based transformations and data cleansing logic to prepare data for business use. Your tasks will include ingesting data from various sources, performing data validation, and resolving any issues that arise during pipeline execution. You will monitor the performance of your pipelines, documenting your processes and transformations to maintain clarity and consistency. Participating in code reviews and design walkthroughs will be part of your routine, allowing you to learn from senior engineers and contribute to the team's overall success. Your reliable delivery of assigned pipelines and transformations will be crucial to the team's performance, and you will work towards achieving low-defect, well-documented implementations.

What we offer

CI&T offers a dynamic work environment where you can grow your skills and advance your career. You will have the opportunity to work with a diverse team of professionals who are passionate about technology and innovation. We encourage you to apply even if your experience doesn't match every requirement, as we value curiosity and a growth mindset. Join us in our mission to create scalable tech solutions that unite human expertise with AI.

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