Data Engineer

Job Description

REQUIREMENTS

• 5+ years of Data Engineering experience
• Strong expertise in Snowflake 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

Preferred

• 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

RESPONSIBILITIES

• Build and maintain scalable data pipelines and infrastructure using Snowflake, AWS Glue, and modern ETL/ELT frameworks
• Integrate data from various SaaS platforms including Salesforce, Mixpanel, Segment, and Google Analytics
• 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

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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