About the role
TL;DR
Build scalable data solutions for an innovative e-learning software company.
- •Step into an exciting role with an innovative e-learning software company in the EdTech space as a Data Engineer.
- •Key Responsibilities 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, 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.
- •Requirements 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.
Required skills
SnowflakeSQLPythonPostgreSQLMongoDBPower BI
Domain expertise
edtech
Tech stack
SnowflakeSQLPythonPostgreSQLMongoDBPower BI