Descrição
Resumo da Vaga:
Design, implement, and operate scalable cloud-based data pipelines, build and maintain data solutions, and contribute to data governance and quality.
Principais Destaques:
1. Design and implement scalable cloud-based data pipelines
2. Build and maintain batch and streaming data solutions
3. Contribute to data governance and improve data quality standards
* Design, implement, and operate scalable cloud\-based data pipelines to ingest, process, and transform data coming from diverse sources such as APIs and secure file transfers.
* Build and maintain both batch and streaming data solutions with a strong focus on reliability, performance, and observability.
* Ensure data pipelines are monitored, documented, and supported to enable efficient usage by analytics and business teams.
* Structure and manage complex datasets while meeting business, technical, and performance requirements.
* Contribute to data governance initiatives by documenting datasets, maintaining metadata, and improving data quality standards.
* Develop and execute data validation, functional, and non\-functional tests across the data platform.
* Design and maintain efficient data models and database objects, including tables, views, and transformation scripts.
* Analyze, troubleshoot, and optimize SQL queries to support high\-performance analytics workloads.
* Participate in production support activities, incident resolution, and continuous monitoring.
* Collaborate with cross\-functional teams to translate functional requirements into robust technical solutions.
* Apply architectural best practices and continuously improve the scalability, maintainability, and performance of data solutions.
**Minimum requirements**
* Degree in Engineering, Computer Science, or a related technical field.
* Proven experience building and maintaining data pipelines in AWS environments (S3, ECS, Lambda, RDS, SNS/SQS, IAM, CloudWatch).
* Strong expertise in SQL, including complex analytical queries, and experience with analytical and non\-relational databases.
* Solid programming skills in Python and experience with data\-related libraries such as Pandas and Boto3\.
* Good understanding of data platform architecture, data governance, and best practices.
* Hands\-on experience with version control systems such as GitHub or GitLab.
* Experience with Snowflake is a strong advantage.
* Familiarity with DBT Core is a plus.
* Experience with orchestration tools (e.g. AWS Step Functions, Airflow, Prefect).
* Exposure to CI/CD practices and Infrastructure as Code tools (Terraform, CloudFormation) is appreciated.
* Knowledge of data visualization tools (e.g. Tableau) is a plus.
* AWS and/or Snowflake certifications are considered an advantage.
Tipo de oferta: Período Integral
Pagamento: Até 3 000,00€ por mês
Benefícios:
* Auxílio Creche
* Cartão/Ticket refeição
* Horário flexível
* Seguro saúde
* Trabalho remoto
Experiência:
* funções semelhantes ou nível de responsabilidade: 5 anos (Preferencial)
* SAP Finance \& Controlling: 2 anos (Preferencial)
Localização do trabalho: Trabalho remoto híbrido em Lisboa