Data Engineer Leiria

Industry: E-commerce (Fashion & Home)

Location: Portugal

Work Model: 100% Remote

Start Date: ASAP

Project Language: English

Overview

Join a leading
- commerce company in fashion and home décor, as they undertake critical data engineering projects to support their evolving business needs. This is an exciting opportunity to contribute to
- impact data solutions for an innovative,
- focused brand, leveraging the latest in data engineering best practices.

Responsibilities

• Project Understanding and Communication
  • Analyze business and technical challenges from a user perspective.
  • Collaborate with Data Architects and Project Managers to ensure solutions align with the client’s data architecture.
• Data Pipeline Development
  • Design, build, and deploy efficient data pipelines according to project requirements.
  • Apply best practices for performance, scalability, and maintainability.
  • Use Terraform to deploy and manage infrastructure efficiently.
• Testing and Deployment
  • Define test cases and conduct testing in collaboration with the Project Manager.
  • Present completed developments to Data Architects and Lead Data
    Ops, ensuring smooth deployment and active monitoring
    - deployment.
• Documentation and Peer Review
  • Document processes, tests, and results thoroughly.
  • Conduct peer reviews and participate in code reviews for quality assurance.

Requirements

• Hard Skills
  • Proficiency in Py
    Spark and Spark SQL for data processing.
  • Experience with Databricks and Delta Live Tables for ETL and workflow orchestration.
  • Familiarity with Azure Data Lake Storage for data storage and management.
  • At least 1 year of experience with Terraform and Git
    Ops practices for infrastructure deployment.
  • Strong understanding of ETL/ELT processes, data warehousing, data lakes, and data modeling.
  • Knowledge of orchestration tools (e. g. , Apache Airflow) for pipeline scheduling and management.
  • Experience with data partitioning and lifecycle management in cloud storage.
• Optional
  • Experience with Databricks Asset Bundles, Kubernetes, Apache Kafka, and Vault is a plus.
• Soft Skills
  • English Fluency: Strong written and verbal English skills in a working environment.
  • Communication: Ability to convey technical concepts effectively and understand user needs.
  • Organizational Skills: Detail-oriented with the ability to maintain structured documentation.
  • Problem-Solving: Proactive approach to understanding and addressing data challenges.