Egnyte is a place where we spark opportunities for amazing people. We believe that every role has meaning, and every Egnyter should be respected. With 22,000+ customers worldwide and growing, you can make an impact by protecting their valuable data. When joining Egnyte, you’re not just landing a new career, you become part of a team of Egnyters that are doers, thinkers, and collaborators who embrace and live by our values:

Invested Relationships

Fiscal Prudence

Candid Conversations

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 the central hub for Egnyte’s data infrastructure and enables the business by providing data in multiple forms. The Analytics Engineering sub-team keeps its prime focus on the data itself but does so while employing software engineering standards (CI/CD, code reviews, version control, etc.) and best practices to maintain a high quality of delivered solutions.

You will help us model Egnyte’s data into our Semantic Layer, redistribute the data via reverse ETL processes, maintain our data at a high quality, and provide technical guidance to analysts and business users. As an Analytics Engineer, you will work closely with Data Analysts, playing a pivotal role in providing reliable, high-quality, and valuable data resources. You will also ensure these assets are updated and adapted as business requirements evolve. We seek someone passionate about structuring data into reusable, maintainable solutions who can bring enthusiasm to help us expand 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 experience with Python tools used in data engineering
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.
Company equity depending on role and level.
Flexible working hours.
Great office space overlooking Lake Malta. We enjoy working there. We know how to effectively work in a hybrid model.
Your own Egnyte account with lifetime access to 50 TB of cloud storage.
MyBenefit: you can choose a MultiSport card or gift cards every month.
Private medical healthcare.
In-house English classes.

COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION:

At Egnyte, we celebrate our differences and thrive on our diversity for our employees, our products, our customers, our investors, and our communities. Egnyters are encouraged to bring their whole selves to work and to appreciate the many differences that collectively make Egnyte a higher-performing company and a great place to be.