Senior Data Engineer - GCS
Job Summary
Job Description
What is the opportunity?
Excited by Data? This is your opportunity to join the RBC Data + AI team. We believe that Hadoop and Cloud are a compute grid and not just a data store, and that utilizing the right tools for the job is a priority. We are a team that believes being agile a way of thinking, and not a process to follow. We believe in going big, pushing the boundaries, and daring to fail and that the community is greater than any hero and that competency is greater than any corporate title.
What will you do?
Utilizing the latest technologies available, designing and building data solutions to meet business needs.
Be an active contributor to not only your individual team, but to the RBC development community.
Constantly seek out better ways to do things, new tools, new technologies, new processes.
Work on both transformational and BAU projects delivering new value while also maintaining existing processes.
Work as part of a cross functional agile team responsible for end-to-end delivery of business needs.
Utilize DevOps to automate everything.
What do you need to succeed?
Must-have:
Experience working with Cloudera Data Platform (CDP) and AWS AWS including SageMaker, Neptune, AirFlow, Glue, EC2, EMR, and Lambda.
Experience working with Apache Spark, Kafka and other big data technologies.
Experience working with OpenShift or other containerization technologies.
Experience in coding with a variety of languages like Python, Scala, & Java.
Experience with relational databases, NoSQL data stores and graph databases like Neo4j.
Experience with GitHub and Jenkins.
Experience with scheduling tools, such as AirFlow.
Nice-to-have:
Experience with NiFi
Experience with Snowflake
Experience designing/building applications on Hadoop and AWS environment.
Knowledge of cloud architectures
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, 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
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Job Skills
Agile Methodology, Agile Methodology, Amazon Elastic Compute Cloud (Amazon EC2), Amazon EMR, Amazon Neptune, Amazon S3, Amazon Sagemaker, Apache Airflow, Apache Hadoop, Apache NiFi, AWS Glue, AWS Lambda, Big Data Analytics, Cloud Architectures, Cloudera Data Platform, Computer Science, Data Management, Data Modeling, DevOps, GitHub, Jenkins Continuous Integration, Neo4j, NoSQL, Python (Programming Language), Red Hat OpenShift {+ 2 more}Additional Job Details
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