описание
We are looking for a Senior Data Engineer to support the Data Hub Chapter of an enterprise client. You will be responsible for the analysis, design, implementation, testing and maintenance of Data Warehouse and Data Platform solutions, focusing on data ingestion, integration, transformation and quality. The role calls for strong expertise in Big Data technologies, ETL development and Data Warehouse environments, and involves working closely with business and technical teams to deliver reliable, scalable and high-performing data-driven solutions.
задачи
- Analyze, plan, implement and technically test Data Warehouse solutions and data platform initiatives
- Develop and maintain raw data ingestion pipelines for Data Lake and related environments
- Ensure data accessibility, referencing, governance and quality across enterprise platforms
- Design and implement ETL processes and data integration solutions
- Collaborate with Business Areas and Functional Teams to gather requirements and define technical solutions
- Participate in certification, quality assurance and User Acceptance Testing (UAT) activities
- Document technical analyses, implemented solutions, testing activities and project decisions
- Ensure industrialization, supervision and production integration of data solutions
- Propose improvements and optimizations to data platforms, tools and processes
- Contribute to Agile project delivery and continuous improvement initiatives
требования
- Bachelor's or Master's Degree in Computer Engineering, Information Technology or a related field
- More than 6 years of experience in Data Engineering and Data Warehouse environments
- Minimum 4 years of experience in functional and technical analysis and corporate data model design
- Strong expertise in Big Data ecosystems and enterprise data integration solutions
- Experience with SQL and T-SQL development
- Experience with SQL Server Analysis Services (SSAS)
- Experience with Microsoft BI tools and Power BI
- Experience with Data Warehouse architecture and development
- Experience with ETL development and automation
- Experience with the Hadoop ecosystem
- Experience with Kafka, NiFi and Access & Exchange Layer technologies
- Experience with Java, Scala and Python development
- Experience with Apache Spark and Hive
- Experience with SQL and NoSQL database technologies
- Experience with Bash scripting and automation
- Experience with DevOps practices and Continuous Integration environments
- Experience with Jira, Confluence and Draw.io
- Proficiency in Microsoft Office tools (Excel, Outlook, Word and PowerPoint)
- Experience with Agile methodologies and project environments
- Strong focus on data quality, governance, scalability and operational excellence
- Strong communication, organizational, documentation and presentation skills
- Ability to gather requirements and lead meetings
- Autonomy, proactivity, critical thinking, and strong problem-solving and analytical skills
- Adaptability, resilience, customer focus and results orientation
- Fluent in Portuguese
- Будет плюсом: Experience in Banking environments, particularly Consumer Credit, is considered a strong advantage
условия
- A permanent job contract for a long term project
- Tech equipment + SIM Card + personal smartphone
- Health and Life Insurance
- Social events and team buildings
- The commitment of letting you grow with us, and be rewarded accordingly
- A dynamic and young team that will be always there to support you
- Training in the latest technologies
- Coffee, fruits, snacks and a warm welcoming when you pass by the office.
