## **Join Easygenerator and build the data platform powering the future of learning** Step into an exciting role with an innovative e-learning software company in the EdTech space as a **Data Engineer**. Easygenerator is a fast-growing scale-up revolutionizing e-learning with our award-winning authoring tool. Join us to build scalable data solutions that enable smarter decisions across Revenue, Product, Marketing, and Business Intelligence. ## What you will be doing - Build and maintain scalable data pipelines and infrastructure using Snowflake, AWS Glue, and modern ETL/ELT frameworks. - Integrate data from platforms such as Salesforce, Mixpanel, Segment, http://Customer.io, Intercom, Google Analytics, and LinkedIn Ads. - Develop reliable data models, warehouses, and data lakes to support reporting and analytics. - Implement data quality, monitoring, governance, and security best practices. - Build AI-powered self-service analytics capabilities for business users. - Partner with Revenue Operations, Product, Marketing and BI teams to deliver impactful data solutions. - Optimize platform performance, reliability, and cost efficiency. ## What you will bring - 3+ years of Data Engineering experience. - Strong expertise in Snowflake, including architecture, performance optimization, governance, and security. - Experience with AWS Glue (PySpark), ETL/ELT pipelines, and workflow orchestration. - Advanced SQL and Python skills. - Experience with PostgreSQL, MongoDB, Amazon S3, and modern cloud data architectures. - Strong understanding of data modelling, warehousing, and analytics engineering practices. - Experience integrating SaaS platforms and revenue data across customer, product, and marketing functions. - Knowledge of data governance, privacy, and compliance frameworks such as GDPR. - Strong problem-solving skills, ownership mindset, and attention to detail. ## Nice to have - Experience in a B2B SaaS environment. - Power BI experience, including data modeling and DAX. - Experience with Snowflake Cortex AI and AI-powered analytics solutions. - Knowledge of marketing attribution and revenue analytics. - Experience with Streamlit, Mixpanel, or similar analytics tools. ## Ready to Join Us? If you're passionate about building modern data platforms and helping teams make smarter decisions with data, we'd love to hear from you. Apply today!