Senior Data Engineer

🕒 6 days ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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

• Develop and maintain data pipelines (ETL/ELT) in Azure environments, using Databricks for processing and integration. • 360° perspective (e.g., understand the project as a whole, recognizing the impacts that a point solution may have on the project). • Implement CI/CD practices to automate deployments and code versioning in GitHub. • Design and optimize data models to ensure scalability, performance, and governance. • Support cloud migration projects, ensuring data security, quality, and integrity. • Collaborate with business and data science teams to deploy AI models in the cloud. • Ensure data quality and consistency by applying data profiling and monitoring techniques. • Document processes, architectures, and data engineering best practices.

🎯 Requirements

• Strong experience with Azure Data Services and Databricks. • Experience with Databricks using PySpark. • Productionizing Machine Learning models in Databricks (MLOps). • Proficiency in Python and SQL for data manipulation and transformation. • Knowledge of CI/CD and version control with GitHub. • Experience in data modeling (conceptual, logical, and physical). • Experience with cloud migration projects. • Experience in ETL/ELT and integrating large volumes of data. • Experience deploying AI models and using tools such as Azure ML. • Experience with AI projects and pipeline automation. • Experience defining strategies, standards, and best practices for converting SAS code to Python/PySpark. • Experience providing technical support for migrating processes, routines, and analytical solutions from SAS to Databricks. • Knowledge or relevant experience with SAS. • Understanding of data-oriented architectures and governance best practices. • Participation in Master Data Management (MDM) initiatives. • Familiarity with Databricks MLflow for model management. • Experience working in Data Lake and Data Warehouse environments.

🏖️ Benefits

• Health and dental insurance; • Meal and grocery 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); • Discount club; • Free online platform dedicated to promoting physical and mental health and well-being; • Pregnancy and responsible parenthood course; • Partnerships with online course platforms; • Language learning platform; • And many more