Analytics Engineer
ABOUT EGNYTE
Egnyte is the secure multi-cloud platform for content security and governance that enables organizations to better protect and collaborate on their most valuable content. Established in 2008, Egnyte has democratized cloud content security for more than 22,000 organizations, helping customers improve data security, maintain compliance, prevent and detect ransomware threats, and boost employee productivity on any app, any cloud, anywhere. For more information, visit www.egnyte.com.
Our Data Analytics team is Egnyte’s central hub for data, enabling the business through multiple data delivery forms. The Analytics Engineering sub-team focuses on high-quality data, applying software engineering best practices to build reliable solutions.
In this role, you will model data in the Semantic Layer, support reverse ETL, ensure data quality, and guide analysts and business users. You will work closely with Data Analysts to deliver reliable, evolving data assets and help grow this function at Egnyte.
WHAT YOU’LL DO:
Design, build, and validate data transformation pipelines to create data models
Develop, maintain, and optimize the semantic layer architecture in dbt, ensuring accurate and efficient data modeling that supports business intelligence, insights, and analytical needs
Collaborate across departments to apply our data strategy and corporate-wide data definitions that meet the demands of our fast-growing business
Take responsibility for delivering new data assets and enhancing the quality and functionality of existing ones
Promote the importance of upholding high-quality, easily maintainable data assets by following best practices and standards via internal code & data reviews
Oversee and refine our CI/CD process to streamline the automated deployment of high-quality code
Develop test cases to guarantee the continuous delivery of accurate and reliable data, safeguarding it from future changes.
Document our data models, logic, and the raw data itself
Monitor our data and solve data quality issues
YOUR QUALIFICATIONS:
You have a deep understanding of dbt (cloud or core) and can develop data models and create and maintain dbt architecture
You possess extensive experience in SQL, both data definition and data manipulation
You have experience with data tools and platforms, including BigQuery
You have expertise in understanding business strategy and metrics
You have more than 3 years of experience in data-related roles such as data engineering or data analytics
You have experience with test automation tools that ensure confident, reliable delivery
You are proficient with Git
You have experience collaborating in an Agile team environment, consistently delivering incremental value each sprint
You have strong written and verbal communication skills
You are familiar with infrastructure-as-code (IaC) using Terraform to automate cloud resources.
You have been exposed to data visualization tools like Tableau or Power BI to transform data into insights
BENEFITS:
• Attractive salary package based on skillset
• Your own Egnyte account with lifetime access to 50TB of cloud storage
• MyBenefit: you can choose a MultiSport card or gift cards every month
• Private medical healthcare
• In-house English classes
Analytics Engineer
Analytics Engineer