Senior Data Engineer - Remote

Overview

As a Data Engineer, you will implement data quality controls, design and manage data architectures and automate workflows. Your proficiency in Python, PySpark, and Azure cloud platforms (especially Databricks and Delta Live Tables) will be crucial for building and maintaining robust data pipelines. You'll also be responsible for data quality checks, data modeling, CI/CD implementation, and monitoring, all while adhering to Agile principles. Your proactive, team-oriented approach, along with strong communication skills, will contribute to your success in this fully remote role, a contract for an indefinite time, with benefits statutory and beyond.

In Short

• Implementing data quality controls
• Design and management of data architectures
• Workflow automation and orchestration
• Collaborative work and use of agile methodologies

Requirements

• English Conversational Advanced (C1-C2)
• Minimum of 3 years of experience as a Data Engineer
• Proficient in Python and PySpark
• Utilize Azure cloud-based data platforms
• Design, build and maintain robust data pipelines
• Implement data quality checks and balances
• Design and implement robust data models and architectures
• Utilize workflow orchestration tools
• Implement CI/CD practices
• Integrate monitoring and alerting mechanisms

Benefits

• Company benefits (statutory and beyond)