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Senior Data Engineer

Skills
DevopsSoftware As A ServiceApache AirflowContinuous ImprovementData AnalyticsData WarehousingDatabases
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • 4+ years of experience in data engineering
  • Proven expertise in AWS Azure Snowflake dbt and Python
  • Strong background in data warehouse architecture data modeling and performance tuning
  • Proficiency in SQL dbt and Python for transformation and orchestration
  • Experience with cloud-native architecture DevOps practices and CI/CD pipelines in Azure AWS and GitHub
  • Excellent communication and collaboration skills

Nice to have

  • Player-coach
  • Collaborative
  • Adaptable
  • Strategic thinker
  • Detail-oriented

Day to day

  • Design and implement scalable secure high-performance data solutions across a multi-cloud AWS and Azure environment
  • Build and optimize ELT pipelines using AWS Azure Apache Airflow Snowflake and dbt to support reliable data movement and transformation
  • Develop maintain and improve data models schema designs governance practices and data quality controls for a unified data platform
  • Collaborate with cross-functional and offshore teams to drive standards share knowledge and evolve the platform with AI-powered automation opportunities