Mid Data Platform Engineer M/F - Remote

Mid Data Platform Engineer M/F - Remote

Descrição da Empresa

A Sysmatch é uma empresa de competências tecnológicas, especialmente vocacionada para apoiar os seus clientes no desenvolvimento, implementação e manutenção de sistemas de informação e soluções globais.

Descrição da Função

Sysmatch is an IT Consultancy and Outsourcing Company with a wide range of technological skills, resulting from the accumulation of know-how and the experience of our consultants, allowing the implementation of solutions adapted to the needs of our clients, privileging their robustness and scalability. More than two decades in the IT market, we present ourselves as a flexible, adaptable, innovative and forward-looking Company. At the moment we are looking for the following candidate: Mid Data Platform Engineer M/F - Remote What you will be doing: • We're looking for a Data Engineer to support and develop a data platform within a large-scale international energy provider, Galp. • Provide user support for the data platform, troubleshooting and fixing issues • Support data pipelines and ETL/ELT processes to enable reliable and scalable data flows • Collaborate with platform architects to ensure the data platform is efficient, secure, and highly available • Improve data processes, monitoring, performance and platform efficiency • Support data quality frameworks and monitoring to ensure accuracy, consistency, and completeness of data pipelines • Support for data lakes, data warehouses, and data streaming solutions • Work with stakeholders (data scientists, analysts, business users) to solve issues in the data platform • Automate repeatable tasks and improve the data ingestion, transformation, and delivery processes • Troubleshoot and optimize data workflows and SQL queries for performance and cost efficiency • Document data platform changes, processes, and best practices • Review, evaluate and approve data product releases to production. What we are looking for: • Experience with data pipelines in a production environment • Strong hands-on knowledge of SQL and experience with distributed data processing (e.g., Apache Spark) • Proficiency and knowledge of troubleshooting dbt, Apache Kafka, Apache Ignite, Apache NiFi and Apache AirFlow • Proficiency in a programming language such as Python or Scala for data engineering tasks • Experience with cloud data services (AWS) • Familiarity with Grafana tools • Knowledge of data governance, security, and compliance in a cloud environment • Experience implementing CI/CD and testing frameworks for data workflows • Strong problem-solving skills, communication skills, and passion for collaboration • Fluent in written and spoken Portuguese and English. What will be a plus: • Familiarity with Dremio data lake warehouse architectures and concepts • Experience with Terraform provisioning data services • Familiarity with Power BI on-premises gateway • Hands-on experience with data catalogue and governance tools (e.g., Collibra, Alation) • Experience with machine learning pipelines and feature engineering. What we offer: - A dynamic project in a well-regarded client at an international level; - Salary classification according to the experience shown; - Career development with intervention in ambitious and innovative technological projects; - Good working environment with young and dynamic teams; - Personalized follow-up to each consultant; - Integration into Sysmatch staff with access to all company activities; - You will be part of our trainings and Team Building events; - A network of hundreds of partnerships with companies in countless sectors that offer you exclusive discounts (health, wellness, travel, gastronomy, culture, leisure, training, etc). Annual Gross Salary: 25.000€ - 35.000€ + Other Benefits Recruitment, selection and integration process: The first contacts will be made by phone call or video call. We are prepared to ensure the monitoring and integration of new employees and support them in this new phase of their professional career.

Localização

  • Lisboa, Portugal
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