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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 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
