Descrição:
About YellowIpe
Our mission is to inspire the connection between technology and people. We nurture the best in our professionals through our expertise in finding and attracting top talent for the best projects. People Focus, Collaboration, and Commitment are the pillars that guide us on this journey.
Join the yellow team as our next Data Engineer!
We're searching for a Data Engineer to join an interesting multi-project environment focusing on designing, building, and optimizing data pipelines, integrations, and analytical data structures. The role involves working with relational databases such as PostgreSQL, modern cloud data platforms like Snowflake, and reporting tools such as Qlik, with a strong focus on reliable, scalable, and well-structured data solutions that support business insights and operational excellence.
Responsibilities:
- Design, implement, and maintain scalable data pipelines, ETL/ELT processes, and integrations across multiple systems;
- Develop, optimize, and maintain database structures, ensuring high data quality, performance, and availability;
- Work with business stakeholders and analysts to understand data needs and translate them into technical solutions;
- Support and evolve our data warehouse and reporting environments, particularly in Snowflake and Qlik;
- Ensure data consistency, accuracy, and integrity across systems and projects;
- Contribute to improving existing data flows, storage strategies, and analytical frameworks;
- Collaborate closely with data analysts, software developers, and other IT professionals in an agile environment.
Requirements:
- Strong experience with relational databases, particularly PostgreSQL (advanced SQL, performance tuning, schema design);
- Solid experience with Snowflake (data modelling, ELT patterns, performance optimization);
- Experience with Qlik (Qlik Sense or QlikView) for data modelling, dashboards, and reporting;
- Familiarity with data engineering concepts such as ETL/ELT pipelines, data lakes, and data warehouses;
- Experience working with scripting or general-purpose languages (e.g., Python or Java is a plus);
- Comfortable working in Linux-based environments;
- Understanding of data governance, data quality, and metadata management;
- Strong data analysis skills and the ability to translate data into actionable insights;
- Excellent debugging, troubleshooting, and optimization techniques;
- Good time management skills;
- Sense of ownership and pride in your work and its impact on business success;
- Team player with strong communication and collaboration skills;
- Customer / User Centric way of working.
Important information:
- Flexible hybrid work model - Venda do Pinheiro.
Apply for this opportunity in our website ! =)