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Job Description
What is the opportunity?
As Cloud Data Engineer in Investor & Treasury Services Data Engineering team within Data Management office, you will design, implement and support Cloud based Data Engineering solution and processes within Investor and Treasury Services across global organization in line with Corporate vision. We are looking for strategic thinker, and passionate data management enthusiast to drive and support leadership team on executing data strategy.
As a member of a dynamic, fast paced team, this role brings strong data architecture and Data Engineering skills and leadership, effective written and verbal communication skills, a strong work ethic and a demonstrated capability to multi-task effectively. This role requires strong interpersonal, organizational and problem-solving skills as well as a demonstrated sense of urgency to respond to changing priorities at times. This is complemented by a positive attitude and a willingness to take accountability for results achieved.
What will you do?
This role will encompass working with Enterprise Cloud team to implement I&TS target state Architecture.
Integrate data with Cloud based platforms, publish data through APIs and Portal.
Work with Enterprise Cloud team to enable Cloud components using Jenkin and/or terraform pipelines.
Set-up and run Proof-of-concept / prototype to test different use cases.
Evaluate current state of data access control in regards to authentication, authorization and encryption practices across I&TS systems and implement the same in target state architecture.
Work in an agile team of Data Engineers, Developers and RBC business stakeholders.
What do you need to succeed?
Must Have
4+ years of experience in Data Engineering with at least 3 years of hands on experience in system integration, data and cloud architecture(Azure), and technologies.
Creating software for retrieving, parsing and processing structured and unstructured data.
Defining and building scalable ETL/ELT workflows for reporting and analytics.
Supporting project team to scale, monitor and operate data platforms for very high availability and performance.
Developing scripts and programs for converting various types of data into usable formats.
Experience on Azure Databricks and Airflow is required
Nice to Have
Automation/DevOps: Jenkins, Terraform & Nexus
Agile methodology
Azure Cloud Data Engineering Certification
Master's degree in Computer science or equivalent experience
What's in it for you?
We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
A comprehensive Total Rewards Program including bonuses and flexible benefits and competitive compensation.
Leaders who support your development through coaching and managing opportunities
Ability to make a difference and lasting impact
Work in a dynamic, collaborative, progressive, and high-performing team
Flexible work/life balance options
Opportunities to take on progressively greater accountabilities
#Ll-Hybrid
#Ll-POST
#TECHPJ
Job Skills
Azure Data Factory, Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Problem Solving, Python (Programming Language), Quality Management, Requirements Analysis, Structured Query Language (SQL)Additional Job Details
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