Description:
About the RoleAs a Data Engineer, you will play a key role in designing, developing, and deploying scalable data solutions in a cloud-based environment. You’ll work in a DevOps setting, ensuring data assets are optimized for performance, reliability, and scalability. You will also have the opportunity to be exposed to AI initiatives and projects.
What You’ll Do
- Develop and implement enterprise-scale data solutions in a cloud environment
- Build and optimize ETL/ELT pipelines with efficient data modeling
- Write and maintain Python and SQL-based data processing solutions
- Work with GCP services such as BigQuery, Dataform/DBT, Cloud Spanner, Cloud Functions, and GCS
- Enhance data warehousing capabilities, ensuring high-quality data processing and analytics
- Collaborate with business and technical teams to deliver impactful data-driven solutions
- 5+ years of enterprise data engineering experience in a cloud-based environment.
- Strong Python programming and complex SQL query expertise
- Proven experience with GCP data services and data warehousing concepts
- Ability to model, format, and prepare data for analytics and reporting.
- Strong communication skills to liaise with both business and technical teams
- Experience with Dataform/DBT
- Background in Financial Services
26 Mar 2025;
from:
uworkin.com