| Job Description |
A Bank in Downtown Toronto (WFH) is seeking Data Engineer - 3 for a contract of 12 month contract depending on the start date.
• Business Group: Corporate Functions Analytics
• Project: Integration of a new Application Adobe Tech Stack
Candidate Value Proposition
• The successful candidate will have the opportunity to work within Bank. We are technology partners who help the business transform how our employees around the world work. You will get to work with and learn from diverse industry leaders, who have hailed from top technology.
Typical Day in Role:
• Hands-on Engineering of Data Processing applications
• Experience with automated deployment of code using CI/CD tools like Jenkins, Bitbucket, Docker, Artifactory
• Experience with Big Data technologies, assisting clients in building software solutions that are distributed, highly scalable and across multiple data centers
• Hands on experience in architecting Big Data applications using Hadoop technologies such as Spark, , HDFS, Hive, Sqoop, HBase, Python
• Database setup/configuration/troubleshooting
• Automating work schedules with Airflow
• Strong Experience with event stream processing technologies such as Spark streaming, Storm, Akka, Kafka
• Experience working with Python & Spark
• Extensive experience with at least one major Hadoop platform (Cloudera, Hortonworks, MapR)
• Experience working with Business Intelligence teams, Data Integration developers, Data Scientists, Analysts and DBA’s to deliver well-architected and scalable Big Data & Analytics eco-system
• Proven track record of architecting Distributed Solutions dealing with real high volume of data(petabytes)
• Strong troubleshooting and performance tuning skills.
• Experience with SQL and scripting languages (such as Python, R)
• Deep understanding of . Google Cloud computing infrastructure and platforms
• Good understanding of Big data design patterns
• Ability to analyze business requirement user stories and model it to domain based services
• Experience working under agile delivery methodology
|
| Job Requirements |
Must haves/Requirements:
• A minimum of 4 years’ experience in hands-on development as Data Engineer or related field
• 4+ years’ experience deploying data engineering solutions in a production setting
• 3+ years of hands-on experience with GCP is required
• Experience with Python & Spark. (Production level coding)
• Capability to architect highly scalable distributed data pipelines using open source tools and big data technologies such as Hadoop, HBase, Spark, etc.
• Experience of designing scalable solutions with proficiency in use of data structures and algorithms
• Previous work experience with Data Modeling (Basic Level) & Data Architecture
Nice to have:
• Experience architecting, implementing, and customizing digital analytics/customer data platform solutions with the Adobe Experience platform
• Expertise in data governance for big data space with knowledge of various MDM/entity resolution solutions
• Previous experience with Adobe’s Experience Platform (AEP) Real-time CDP solution
• Experience in cloud-based environment with PaaS & IaaS
• Previous experience with AEP digital marketing platform, Adobe tech stack.
Experience with Talend/ ETL tool.
Soft skills:
• Excellent written, presentation, and verbal communication skills
• Ability to work as part of a team, as well as work independently or with minimal direction..
• Collaborate with data architects, modelers and IT team members on project goals.
Education/Experience:
• Bachelor's degree in a technical field such as computer science, computer engineering or related field required
• GCP certification is a plus
Interview:
• 1 interview with HM 45 minutes video conference (Technical questions)
• 2 interview with HM & Director 30 video conference (Technical & Behavior questions)
Additional comments:
- GCP is required. Do not submit candidate’s without hands on experience with GCP
- GCP certification is a big plus
Bank will review any requests for accommodations put forward by Suppliers
|