JOBILY AI SUMMARY
What you'll do
- Design and build an enterprise data warehouse on a modern cloud platform
- Develop and implement robust ETL/ELT processes to ingest data from diverse sources
- Create logical and physical data models optimized for analytics performance
- Establish and enforce data quality standards and frameworks
- Monitor, troubleshoot, and optimize data pipelines and warehouse performance
- Implement data security and access controls in collaboration with platform team
- Work with business stakeholders to translate data needs into technical specifications
- Partner with Application Owners to understand source system data structures and APIs
- Create clear documentation for data models, dictionaries, and pipeline logic
Key requirements
- 3+ years' experience
- Data Warehousing and cloud data services experience for modern warehouse design
- ETL/ELT pipeline development with diverse source systems
- Advanced SQL performance tuning and complex querying skills
- Programming with Python including data libraries like Pandas and PySpark
- Data modeling for scalable and efficient data structures
- Data quality standards, data security, access controls, and data governance
- Systems thinking and collaboration with cross-functional teams
- Documentation skills for data models and pipeline logic
- Computer Science / Engineering / Mathematics / Quantitative 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…


