Data Engineer
Summary
Build and maintain scalable ETL/ELT pipelines and governed data products, using AI tools to automate data engineering work. Day-to-day focus is on SQL transformations, enterprise data modeling, deploying pipelines across Dev/QA/Production, and peer code reviews with architects.
- Automate data engineering tasks using AI tools
- Collaborate with architects in peer code reviews
- Design and implement scalable ETL/ELT pipelines
- Develop governed data products as single sources of truth
- Implement data validation, testing, and monitoring
- Manage pipeline deployment across Dev QA Production
- Model and maintain enterprise data models
- Monitor pipeline performance and troubleshoot failures
- Translate business requirements into data pipeline logic
- Use Git for version control of pipeline code and configurations
- Write SQL transformations and data processing logic
Perks/Benefits:
- Career development opportunities
- Employee discounts
- Fitness discounts
- Flextime
- Healthy work-life balance
- Hybrid work model
- Meal tickets
- Premium medical subscription
- Progressive holiday plan
- Sick days
- Technical trainings
- Weekend holiday compensation