On behalf of our client in the Banking Sector, PROCOM is looking for a Data Engineer - Big Data. Data Engineer - Big Data - Job Description
Work with business stakeholders and cross-functional teams to understand data requirements and deliver scalable data solutions
Design, develop, and maintain robust ETL processes to extract, transform, and load data from various sources into our data platform
Build large-scale batch and event-driven data pipelines using cloud and on-premises hybrid data platform topology
Work closely with data architects to review solutions and data models and ensure adherence to data platform architecture guidelines and engineering best practices
Take ownership of end-to-end deliverables and ensures high quality software development while fulfilling all operational and functional requirements in a timely manner
Implement and enforce data quality standards and best practices while collaborating with data governance teams to ensure compliance with data policies and regulations
Optimize data integration workflows for performance and reliability
Troubleshoot and resolve data integration and data processing issues
Leverage best practices in continuous integration and delivery using DataOps pipelines
Apply design-thinking and agile mindset in working with other engineers and business stakeholders to continuously experiment, iterate and deliver on new initiatives
Stay informed about emerging technologies and trends in data engineering domain
Lead, mentor, and inspire a team of data engineers to achieve high performance levels
Data Engineer - Big Data - Mandatory Skills
Power BI implementation and configuration
Experience with Microsoft Business Intelligence stack
Solution architecture
Implementation of other data warehousing, reporting and analytics solutions
Metadata management
Master data management
Data governance
Data analytics
Data Engineer - Big Data - Preferred Skills
Experience with OpenShift, S3, Trino, Ranger and Hive
Knowledge of creating dashboards using Prometheus and Grafana
Knowledge about data science tools and libraries
Data Engineer - Big Data - Assignment Start Date ASAP – 12 months to start Data Engineer - Big Data - Assignment Location Toronto, ON – Work Hybrid