Job description

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

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