Senior Data Engineer

REQUIRED SKILLS

Advanced Technical Expertise

• System Architecture

  : Design and implement large-scale, end-to-end data architectures on GCP

• Performance Tuning

  : Expert optimization of complex pipelines and BigQuery (cost & scalability)

• Advanced Data Modeling

  : Slowly changing dimensions, data vault modeling, complex scenarios

• Advanced Programming

  : Python for custom frameworks and complex processing logic

• Infrastructure as Code

  : Terraform for cloud infrastructure management

• Containers & API

  : Docker, Serverless architecture, API development and security (OWASP)

• Agile

  : Expert knowledge of agile methodologies and ceremonies

Leadership & Mentoring

• Lead and manage technical teams (task delegation, code review, constructive feedback)
• Mentor junior and mid-level data engineers through cross-learning and peer programming
• Design and implement onboarding processes and ongoing training programs
• Provide technical and methodological guidance, coordinate implementations

Strategic & Collaborative Skills

• Project Management

  : Translate business needs into technical specs, estimate efforts, manage end-to-end projects

• Stakeholder Communication

  : Excellent business and technical communication with analysts, BI developers, and business stakeholders

• Governance

  : Establish and enforce data governance policies, quality standards, and engineering best practices

• Risk Management

  : Identify and manage risks, proactively alert the team

• Software Craftsmanship

  : Promote development practices, identify and manage technical debt

Product Vision