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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 data transformation and orchestration
  • Experience with cloud-native architecture DevOps practices and CI/CD pipelines in Azure AWS and GitHub
  • Excellent communication and collaboration skills with the ability to influence technical direction and strategy

Nice to have

  • Player-coach mindset
  • Cross-functional collaborator
  • Remote-first comfort
  • Adaptable prioritization
  • Continuous improvement focus

Day to day

  • Design and implement scalable secure high-performance data solutions across AWS and Azure
  • Build ELT pipelines using AWS infrastructure Azure infrastructure Apache Airflow Snowflake and dbt
  • Develop maintain and optimize a unified data platform data models and schema designs for efficient storage retrieval and reliable workflows
  • Implement data governance security compliance quality validation cleansing testing monitoring and act as a technical subject matter expert