Data Engineer

Industry: E-commerce (Fashion & Home)

Location: Portugal

Work Model: 100% Remote

Start Date: ASAP

Project Language: English

Project Overview:

Join a leading e-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 high-impact data solutions for an innovative, customer-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 DataOps, ensuring smooth deployment and active monitoring post-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 PySpark 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 GitOps 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.