JOBILY AI SUMMARY
What you'll do
- Design, develop, and deploy an enterprise data warehouse on a modern cloud platform
- Develop and implement ETL/ELT processes for data from diverse source systems
- Create logical and physical data models optimized for analytics performance and usability
- Establish and enforce data quality standards and frameworks
- Monitor, troubleshoot, and optimize data pipelines and warehouse performance
- Implement data security and access controls with the platform team
- Translate stakeholder and analyst data needs into technical specifications
- Understand source-system data structures and APIs with Application Owners
- Document data models, data dictionaries, and pipeline logic
Key requirements
- 3+ years' experience
- SQL, Python, Pandas, and PySpark
- Data warehousing and data modeling
- ETL/ELT pipeline development and advanced data integration
- Cloud data services
- Data quality management and data pipeline monitoring and optimization
- Data security and access controls, data governance, and data documentation
- Computer Science / Engineering / Mathematics / Any Fieldpreferred
About the job
As our founding Data Engineer, you will do more than just build data pipelines; you will design and construct the central nervous system of our company. You are a systems thinker who sees data as the connective tissue that links our commercial, operational, and scientific functions. Your mission is…



