Engenheiro(a) de Dados no Centro de Excelência Votorantim, desenvolvendo soluções de dados e inovação. Oportunidade em um ambiente colaborativo e focado na excelência.
About the role
- Data Engineer focusing on AWS for building and maintaining data pipelines. Collaborating on BI, Analytics, and AI projects in a dynamic environment.
Responsibilities
- Develop, maintain and evolve data pipelines (ETL/ELT) using Python.
- Build integrations with various data sources (REST APIs, SQL/NoSQL databases, files, messaging systems).
- Work on data modeling for analytical layers (Bronze, Silver, Gold or equivalents).
- Use AWS services for data ingestion, processing, storage and consumption.
- Ensure data quality, reliability, traceability and performance.
- Implement best practices for versioning, monitoring and error handling in pipelines.
- Support BI, Analytics and AI teams in correct data consumption.
- Participate in code reviews, technical discussions and continuous improvements of the data architecture.
- Document data flows, pipelines, business rules and data architecture.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Information Systems or related fields.
- Solid experience as a Data Engineer (Mid or Senior level).
- Proficiency in Python, with focus on data processing and transformation.
- Practical experience with ETL/ELT and data pipelines.
- Experience with AWS (e.g., S3, EC2, RDS, Lambda, Glue, Athena, Redshift or similar).
- Knowledge of relational databases (PostgreSQL, MySQL, SQL Server or similar).
- Experience with version control (Git).
- Ability to work with large volumes of data and multiple data sources.
- Good communication, organizational skills and a collaborative mindset.
- Differentiators that can make you stand out: Experience with layered data architectures (Bronze / Silver / Gold, Data Lake, Data Warehouse).
- Experience with orchestration tools (Airflow, Prefect, Dagster or similar).
- Experience with BI and Analytics tools (Superset, Power BI, Looker, etc.).
- Knowledge of messaging and streaming (Kafka, SQS, SNS, Pub/Sub).
- Familiarity with SaaS environments, ERPs or enterprise systems.
- Experience with CI/CD for data pipelines.
- Knowledge of data quality, testing and observability.
- Experience with data for Machine Learning or AI products.
Benefits
- Positive Work Environment: We believe a healthy organizational climate is essential for everyone’s well-being. Here you will find colleagues and managers ready to support your development.
- Growth Opportunities: We invest in our employees’ professional growth through training and internal promotions.
- Attractive Benefits: In addition to a competitive salary, we offer benefits that ensure quality of life, such as healthcare and wellness programs.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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