Senior Analytics Engineer
1 miesiąc temu
About Egnyte
Egnyte is a leading provider of secure multi-cloud platforms for content security and governance. Our mission is to empower organizations to better protect and collaborate on their most valuable content.
Our Data Analytics team is the central hub for Egnyte's data infrastructure, enabling the business by providing data in multiple forms. The Analytics Engineering sub-team focuses on data modeling, employing software engineering standards and best practices to maintain high-quality solutions.
Key Responsibilities
- Develop and maintain the semantic layer architecture in dbt, ensuring accurate and efficient data modeling.
- Design, build, and validate data transformation pipelines to create data models.
- Document data models, logic, and raw data.
- Perform internal code and data reviews.
- Monitor data and solve quality issues.
- Lead initiatives to improve processes, enhance code quality, and increase project delivery efficiency.
- Collaborate across departments to apply data strategy and corporate-wide data definitions.
Requirements
- Deep understanding of dbt and ability to develop data models and maintain dbt architecture.
- Extensive experience in SQL, including data definition and manipulation.
- Experience with data tools and platforms, including BigQuery.
- Experience with Python tools used in data engineering.
- Expertise in understanding business strategy and metrics.
- More than 5 years of experience in data-related roles, such as data engineering or data analytics.
- Exceptional communication skills, both written and spoken, to interact effectively with senior leaders.
- Ability to mentor team members.
Benefits
- Attractive salary package based on skillset.
- Company equity depending on role and level.
- Egnyte account with lifetime access to 50 TB of cloud storage.
- Great office space overlooking Lake Malta.
- MyBenefit: choose a MultiSport card or gift cards every month.
- Private medical healthcare.
- In-house English classes.
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