Senior Data / ML Engineer
Senior Data / ML Engineer
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Job Description
Job Summary
Job Description
What is the opportunity
As a senior experienced engineer you will be responsible for building and managing data platforms and pipelines for Data Science with appropriate data governance and security. You will work with data scientists and peer data engineers to actively solve business problems and delivering value using agile methodology. You will work with technical and business stakeholders to build and maintain an optimized and scalable data pipeline and democratize data. You will participate in the architecture review and approval process. You will be also responsible for working closely with data scientists in the area of data ingestion and feature engineering establishing coding best practices maintaining and managing technical documentation and incident triaging and resolution.
What will you do
As part of the Data Engineering team you will encompass an end to end view from data sourcing lineage quality transformation and storage.
Execute Development and Integration activities (planning execution testing deployment and post implementation support) of existing and new data and visualization Technologies (e.g. Omni-Channel reporting Gamification/Visualization).
Prepare data to be used for diagnostic/descriptive reporting and data science work.
Build container based solutions pipelines APIs/Microservices and analytics portal for heterogeneous data sources on internal data lakes or cloud platforms
Collaborate with Data scientists Process Engineers and Business Stakeholders to develop data pipelines and assist with prescriptive and predictive analytics through consolidated data
Identify and resolve data movement/transformation/processing bottlenecks
Research emerging Data and Visualization technologies trends/best practices and propose solutions for Technology and Business partners.
Mentor junior team members
What do you need to succeed
Must Have:
Bachelors degree in Computer Science Engineering or equivalent
Experienced in building end to end data pipelines
Demonstrated leadership skills; ability to identify / foresee issues and to proactively recommend and build resilient solutions
Advanced SQL knowledge and experience working with relational databases
Experience in developing scalable configurable applications using Python and application frameworks
Knowledge of relevant security considerations for applications on cloud
Knowledge of VMs and various MLOps platforms such as WandB AWS SageMaker
Knowledge of AWS
5 years of hands-on experience in following key areas:
Data engineering solutions: Logstash Python SQL Server Kafka Hadoop Spark Scala
API: Flask Django and Microservices technologies
Automation/DevOps: Github Actions Airflow UCD Selenium and similar technologies
Cloud technologies: Openshift PCF Docker Kubernetes
Git & code version management
Nice to Have
Masters degree in Computer Science Engineering or equivalent
Supervised and Unsupervised Machine learning Natural Language Processing
Security frameworks: LDAP Kerberos OAuth 2.0 Vault integration
Experience working in agile environment
Tableau
Whats 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 competitive compensation commissions and stock where applicable
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
A world-class training program in financial services
Flexible work/life balance options
Opportunities to do challenging work
#LI-Post
#TechPJ
Job Skills
Agile Methodology Big Data Big Data Management Cloud Computing Database Development Database Queries Data Ingestion Data Lake Data Mining Data Movement Data Pipelines Data Warehousing (DW) ETL Processing Group Problem Solving Python (Programming Language) Quality Management Requirements AnalysisAdditional Job Details
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Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Inclusion and Equal Opportunity Employment
At RBC we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best effectively collaborate drive innovation and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect belonging and opportunity for all.
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Required Experience:
Senior IC
Employment Type
Full-Time
