[Job-00024] Senior Data Engineer, Brazil

CI&T; Brasil; Presencial; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A global technology company is seeking a Data Engineer to design and support scalable data pipelines and infrastructure. This role involves collaborating with cross-functional teams and ensuring data security and compliance. Ideal candidates will have proven experience in Python and SQL, as well as familiarity with cloud platforms like AWS and Azure. Attractive benefits include health insurance, meal allowances, and continuous learning opportunities.

Serviços

Health and dental insurance

Meal and food allowance

Childcare assistance

Extended paternity leave

Gym partnership

Profit sharing

Life insurance

Continuous learning platform

Language learning platform

Qualificações

• Proven experience in data pipeline development using Python and SQL.
• Hands‑on experience with cloud platforms such as AWS or Azure.
• Proficiency with ETL/ELT tools and frameworks.

Responsabilidades

• Design, build, and maintain scalable data pipelines.
• Implement data ingestion and storage solutions using cloud technologies.
• Collaborate with stakeholders to translate business goals into data solutions.

Conhecimentos

Data pipeline development

Python

SQL

Cloud platforms (AWS, Azure)

ETL/ELT tools

Data modeling

Fluent English communication

Ferramentas

AWS Glue

SQL databases

Terraform

Git

Descrição da oferta de emprego

Overview

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.

With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.

We are looking for a Data Engineer to join our global team at CI&T. You will play a critical role in designing, developing, and supporting scalable, high-quality data pipelines and infrastructure. Working with multidisciplinary teams across Brazil, Europe, the US, and other regions, you’ll help transform data into actionable insights that support digital products and business decisions.

Main Responsibilities

• Design, build, and maintain scalable, high-quality data pipelines for structured and unstructured data.
• Implement robust data ingestion, transformation, and storage using cloud-based technologies.
• Collaborate with stakeholders to understand business goals and translate them into data engineering solutions.
• Monitor, troubleshoot, and optimize data pipelines for reliability and performance.
• Support data validation, testing, and documentation processes.
• Contribute to the design and deployment of modern data architectures (e.g., data lakes, lakehouses, data warehouses).
• Apply Infrastructure-as-Code (IaC) practices for provisioning and managing cloud resources.
• Integrate emerging tools and frameworks to modernize existing data environments.
• Ensure security, governance, and compliance in all stages of data handling.
• Work in agile teams, contributing to continuous improvement and mentoring junior team members.

Requirements

• Proven experience in data pipeline development using Python and SQL.
• Hands‑on experience with cloud platforms such as AWS (Glue, Redshift, EMR) or Azure (ADF, Synapse).
• Proficiency with ETL/ELT tools and frameworks (e.g., Talend, Azure Data Factory, Airflow, DBT).
• Familiarity with modern data warehouses and lakehouses (e.g., Snowflake, BigQuery, Databricks).
• Experience with Infrastructure-as-Code tools (Terraform, CloudFormation, ARM templates).
• Strong understanding of data modeling, database design (SQL and NoSQL), and performance optimization.
• Knowledge of version control (Git) and task management tools (JIRA, Confluence).
• Fluent English communication skills (written and spoken) to operate in global teams.
• Awareness of data security, compliance (e.g., GDPR), and privacy best practices.

Nice to Have

• Experience with real-time/streaming data architectures (Kafka, EventHub, Spark Streaming).
• Familiarity with BI and visualization tools (Power BI, Tableau, Looker).
• Knowledge of DevOps practices and CI/CD integration for data workloads.
• Exposure to data quality frameworks and observability tools.
• Cloud certification (e.g., AWS Data Analytics, Azure Data Engineer Associate).
• Familiarity with machine learning pipelines or MLOps frameworks.
• Experience with data migration or modernization from legacy systems to cloud-native architectures.

Our benefits

• Health and dental insurance
• Meal and food allowance
• Childcare assistance
• Extended paternity leave
• Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass
• Profit sharing and results participation (PLR)
• Life insurance
• Continuous learning platform (CI&T University)
• Discount club
• Free online platform dedicated to physical, mental, and overall well-being
• Pregnancy and responsible parenting course
• Partnerships with online learning platforms
• Language learning platform
• And many more!

More details about our benefits here: https://ciandt.com/br/pt-br/carreiras

At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your assessment during the selection process. See which data needs to be included in the report by clicking here. This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don't worry: we can support you in obtaining it.

We have a dedicated Health and Well-being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side.