Data Engineer II

Data Engineer II

Requirements

• Degree, Postgraduate Degree, or Technical Certificate in Data Management
• 5-7 years of relevant experience
• Master Data Management (MDM) experience; Informatica experience beneficial
• Expertise in data engineering on Azure, Databricks, orchestration, understanding of ETL frameworks, python, spark, synapse etc.

Responsibilities

• Responsible for overall data engineering design and development on Rahona
• Building data pipelines, delivering data ingress/egress for C360 platform
• Perform data analysis and assess data management requirements for a specific Platform or Journey
• Maintain expert knowledge of upstream data
• Support the acquisition and ingestion of data
• Articulate complex, large scale, and high impact technical design and development details to non-technical business partners
• Elicit, analyze, and understand business and data requirements to develop complete business solutions
• Ensure data is maintained in compliance with enterprise data standards, policies, and guidelines
• Develop and maintain complex data models using industry standard modeling tools
• Develop and maintain complex ETL jobs and frameworks using the Bank’s standard tools
• Provide support to the development and testing teams to resolve data issues
• Support partners and stakeholders in interpreting and analyzing data
• Build effective working relationships within own pod and across partner teams to encourage collaboration on all pod deliverables
• Coordinate with technology work teams to ensure overall delivery success
• Support the QA team with data analysis/investigations of complex issues/test cases
• Provide oversight on post implementation activities during the warranty period
• Execute & approve code check-in/check-out into source code repository
• Work closely with ITS/ARE teams to support code packaging & deployment
• Be the lead participant in the design & architecture reviews
• Raise service-now requests and work with the change management team to support release management activities
• Lead data engineering initiatives and capabilities, data governance principles
• Ensure metadata and data lineage is captured and compatible with enterprise metadata and data management tools
• Adhere & contribute towards standard security coding practices
• Ensure technical decisions, technical risks and lessons learned are identified and documented
• Protect the interests of the organization – identify and manage risks
• Adhere to internal policies/procedures and applicable regulatory guidelines
• Keep current on emerging trends/developments and grow knowledge of the business
• Enable team members by sharing knowledge and leveraging engineering best practices
• Participate fully as a member of the team, support a positive work environment
• Provide thought leadership and/or industry knowledge for Data engineering best practices
• Participate in personal performance management and development activities
• Keep others informed and up-to-date about the status/progress of projects
• Actively mentor and enable team members by sharing knowledge
• Support the team by providing guidance and proactively identifying and resolving issues
• Lead, motivate and develop relationships with internal and external business partners
• Contribute to a fair, positive and equitable environment that supports a diverse workforce
• Act as a brand ambassador for your business area/function and the bank

Preferred Qualifications

• Graduate Degree nice to have