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Publié il y a 54 jours

Data Engineer H/F

Entreprise
Localisation
Portugal
Sur site
Type de contrat
Niveau
Rémunération
35 000 - 40 000€• Salaire annuel

Salaire du marché

Médiane du marché
48k€
Sous le marché
43k€fourchette habituelle55k€
Cette offre : 38k€

Basé sur 564 offres pour ce poste (tous niveaux, France, 3 dernières semaines). Fourchette habituelle 43k€–55k€, médiane 48k€. Cette offre (38k€) est sous la fourchette.

Médiane du marché
480€/j
Estimation
435€/jfourchette habituelle535€/j

Cette offre n'affiche pas de salaire. D'après 145 offres pour ce poste (tous niveaux, France), le marché se situe autour de 480€/j (435€/j–535€/j).

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Description du poste

YOUR RESPONSIBILITIES

  • We are looking for a Data Engineer in Porto with the mission of designing, developing, and maintaining scalable data platforms that support data storage, processing, orchestration, and analytics across the organization.

  • Design, build, and maintain scalable and high-performance data platforms;

  • Develop and implement robust data pipelines and integration solutions to ensure efficient data flow across multiple systems;

  • Collect, process, and analyze large and complex datasets from a variety of data sources;

  • Design and implement data processing workflows using modern Big Data and data processing frameworks;

  • Work closely with Data Scientists, Analysts, and cross-functional teams to ensure data accuracy, integrity, and accessibility;

  • Ensure data security, privacy, and compliance through the implementation of appropriate access controls and data encryption mechanisms;

  • Extract, transform, and load data from diverse sources, including databases, file systems, APIs, and cloud-based platforms;

  • Monitor platform performance and continuously optimize systems for scalability, reliability, and high availability;

  • Contribute to the evolution and improvement of data architecture, platforms, and engineering best practices;

  • Produce and maintain technical documentation related to data models, pipelines, processes, and platform architecture.

YOUR PROFILE

  • Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, Information Systems, or a related field;

  • Experience with cloud platforms and services for data engineering, preferably AWS and/or Google Cloud Platform (GCP);

  • Proficiency in programming languages such as Python, Java, or Scala;

  • Experience with Big Data technologies and frameworks such as Spark, Flink, Kafka, Elasticsearch, Hadoop, Hive, Sqoop, Flume, Impala, Kafka Streams & Connect, Druid, or similar;

  • Strong understanding of data modeling, database design principles, and data architecture concepts;

  • Experience with data integration and ETL/ELT tools (e.g., Apache Kafka, Talend, or similar);

  • Knowledge of distributed systems and large-scale data processing architectures;

  • Advanced SQL skills and hands-on experience with relational and NoSQL databases;

  • Familiarity with cloud-based data services and storage solutions (e.g., AWS S3, Azure Data Factory, GCP services);

  • Experience with version control systems, preferably Git;

  • Strong analytical and problem-solving skills with attention to detail;

  • Ability to produce clear and concise technical documentation;

  • Advanced written and spoken English.

SOFT SKILLS

  • Strong teamwork, communication, proactivity, critical thinking, and curiosity

WHY JOIN US?

  • Personalized support and resources to accelerate your career growth

  • An open, diverse, and innovative ecosystem that empowers you to step out of your comfort zone

  • The opportunity to become a company shareholder

  • Engagement with community and non-profit technology projects

  • Supportive policies for work-life balance and parenthood

Fortil is committed to equal opportunity. All our positions are open to people with disabilities, regardless of gender, origin, or sexual orientation. origin or sexual orientation.

Exigences du poste

Stack technique :

AWSGoogle Cloud PlatformPythonJavaScalaApache SparkApache FlinkApache KafkaElasticsearchHadoopApache HiveApache SqoopFlumeApache ImpalaKafka StreamsKafka ConnectApache DruidTalendSQLNoSQLAWS S3Azure Data FactoryGit

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