Senior Data Engineer Porto

Senior Data Engineer
Porto
Porto, Porto District, Portugal

Devexpertsworkswith respected financial institutions, delivering products and
- made solutions for retail and brokerage houses, exchanges, and
- side firms. The company focuses on trading platforms and brokerage automation, complex software development projects, market data products, and IT consulting services.

Job Description

We are looking for a Senior Data Engineer with a Java / Scala / Python background to jointhe Research & Development Team.

Our current project is for a Top-5 US retail broker (by the number of users). The project is devoted to trading experience, finance reports, and risk management.

You will join
- functional team that excels in getting features done from zero to production.

We expect the Senior Data Engineer to:

• Design, develop, and maintain robust data pipelines using Java within AWS infrastructure,
• Implement scalable solutions for data analysis and transformation using Apache Spark and Py
  Spark,
• Utilise Airflow for efficient workflow orchestration in complex data processing tasks,
• Ensure fast and interactive querying capabilities through the use of Presto.

2. Manage Infrastructure:

• Containerise applications using Docker for streamlined deployment and scaling,
• Orchestrate and manage containers effectively with Kubernetes in production environments,
• Implement infrastructure as code using Terraform for provisioning and managing AWS resources.

3. Collaborate and Communicate:

• Collaborate with
  - functional teams to understand data requirements and architect scalable solutions aligned with business goals,
• Ensure data quality and reliability through robust testing methodologies and monitoring solutions,
• Stay updated with emerging technologies and industry trends to continuously enhance the data engineering ecosystem.

Qualifications

Must-have skills:

1. Education and Experience:

• Bachelor's degree in Computer Science, Engineering, or related field,
• Minimum 5years of
  - on experience in Java / Scala / Pythondevelopment, emphasising
  - oriented principles.

2. Technical Proficiency:

• Proficiency in Apache Spark or Py
  Spark for
  - scale data processing,
• Experience with Airflow for workflow orchestration in production environments,
• Familiarity with Docker for containerisation and Kubernetes for container orchestration,
• Experience managing AWS services such as S3, EMR, Glue, Athena, and Redshift,
• Strong background in SQL and relational databases.

3. Communication Skills:

• Excellent English language communication skills, both verbal and written,
• Ability to collaborate effectively with technical and
  - technical stakeholders.

Nice-to-have skills:

• Experience with streaming platforms such as Kafka for
  - time data processing,
• Knowledge of Terraform for infrastructure as code implementation in AWS environments.

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