Senior Data Engineer Analytics

Responsibilities:

• Collaborate with Staff Data Engineers and other developers to maintain existing data pipelines
• Write clean, maintainable, and well-tested code
• Stay current on software engineering trends and tools, and be practical but open-minded in applying them
• Engage in the full software development life cycle including testing
• Be a force-multiplier on the velocity and quality of your team
• Maintain a high bar for quality and performance of your product with vigorous attention to detail and automated testing
• Continuously improve how we design, build, and deploy data products
• Actively participate in after-hours deployment of the new versions of SasS products
• Respond to production defects and provide on-call support including problem analysis and resolution, during and after work hours. Verify the data quality after deployments and hot fixes
  

Requirements:

• Strong grasp of ELT/ETL using dbt (data build tool)
• Proficiency in at least one data pipeline orchestration and management tool
• Python programming skills
• Familiarity with Open-Source Tools and Linux command line
• Excellent SQL programming experience, including CTEs
• Excellent written and verbal communication skills
• Early-stage startup and SaaS experience