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Senior AWS Data Engineer

Senior AWS Data Engineer

LUZA Group PortugalLisboa, 11, pt
Há +30 dias
Descrição da vaga

Job Title : Senior AWS Data Engineer

Location : Lisbon, Portugal

Work Regime : Full-time & Hybrid

  • First 6 months : 4x / week in the office and 1x / week at home;
  • After 6 months : 3x / week in the office and 2x / week at home

Overview / Summary :

We are looking for a Senior AWS Data Engineer, to join our client, a tech company founded in 2016, that develops core software solutions for a leading financial group. With a strong focus on innovation, the company delivers secure, scalable platforms to support banking, wealth management, and compliance operations.

Responsibilities and Tasks :

Data Pipeline Development

  • Design and implement cloud-native pipelines for structured and unstructured data, integrating sources such as APIs, FTP / SFTP.
  • Build high-performance batch and streaming pipelines with integrated monitoring and alerting systems to support analytical use cases.
  • Data Management

  • Manage large-scale, complex datasets aligned with business needs.
  • Support metadata management and contribute to data governance efforts.
  • Develop and run data quality tests covering both functional and non-functional aspects.
  • Data Modelling & Optimization

  • Design database objects such as views, tables, and procedures to support data analytics.
  • Optimize SQL queries and data models for performance and efficiency.
  • Operational Support & Collaboration

  • Support production systems including troubleshooting and user support.
  • Collaborate with analysts, developers, and stakeholders to understand requirements and deliver value-driven solutions.
  • Continuous Improvement

  • Follow architectural and coding standards to ensure maintainability.
  • Continuously evolve and optimize the platforms scalability and performance.
  • Stay current with emerging tools, frameworks, and practices in data engineering.
  • Requirements

    Requirements :

    Essential Qualifications & Experience :

  • Degree in Engineering, Computer Science, or a related field.
  • Hands-on experience with AWS services (e.g., S3, Lambda, ECS, RDS, SNS / SQS, IAM, CloudWatch).
  • Advanced SQL programming skills and familiarity with analytical and non-relational databases.
  • Proficiency in Python and libraries such as Pandas and Boto3.
  • Strong understanding of modern data architecture and governance best practices.
  • Valuable Additional Experience :

  • Hands-on experience with Snowflake.
  • Familiarity with CI / CD practices and orchestration tools (e.g., Step Functions, Airflow, Prefect).
  • Experience with version control tools such as GitHub or GitLab.
  • Knowledge of data visualization platforms (e.g., Tableau).
  • Experience with Infrastructure as Code tools (e.g., Terraform, CloudFormation).
  • AWS and / or Snowflake certifications are a plus.
  • Soft Skills & Working Style :

  • Agile mindset with a collaborative, growth-oriented approach.
  • Strong analytical and troubleshooting abilities.
  • Detail-focused with a commitment to performance and quality.
  • Comfortable working in Agile environments and tools like Jira.
  • Excellent interpersonal and communication skills.
  • Fluency in English; Portuguese and / or French is a plus.
  • Team-oriented, proactive, and eager to continuously learn and improve.
  • Criar um alerta de emprego para esta pesquisa

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