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Senior Data Engineer
Skills
DevopsSoftware As A ServiceApache AirflowContinuous ImprovementData AnalyticsData WarehousingDatabases
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
