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Data Engineer
Skills
Data EngineeringData ModelingData ModelsData ScienceData WarehousingDefining RequirementsGoogle Cloud Platform
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 2+ years of Data Engineering experience
- Able to leverage abstraction to solve complex problems
- Excellent SQL Python and data modeling skills
- Experience with dbt and Snowflake
- Experience contributing to scalable data systems
- Strong communication and collaboration skills
- Experience delivering results within set timelines
- Can work iteratively defining requirements as needed
Nice to have
- Extensive experience with dbt
- Experience working with finance data
- Experience with digital marketing data
- Experience building A/B Testing frameworks
- Familiarity with DevOps practices
- Experience with cloud platforms
- Understanding of machine learning concepts
- Understanding of data science concepts
Day to day
- Develop and optimize data models to support various business needs ensuring data consistency and accuracy across the organization.
- Design build and maintain a simple effective and scalable data warehouse infrastructure using Snowflake.
- Implement and manage ELT processes with dbt to ensure reliable data pipelines.
- Manage data integrations with external systems
- Work closely with data analysts and business stakeholders to understand their requirements and deliver actionable insights.
- Collaborate with and learn from experienced team members fostering a culture of learning and continuous improvement.
- Ensure testing and validation mechanisms are in place so that data transformations are verified complete documented and meet SLAs