Original listing text, shown exactly as published by the company.
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, 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 Product, Marketing, Revenue Operations, and BI teams to deliver impactful data solutions.
- Optimize platform performance, reliability, and cost efficiency.
What you will bring
- 5+ 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 customer, product, marketing, or revenue data.
- 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!
