The Big Data Platform Engineer position is responsible for variety of engineering activities and major initiatives under TTS Big Data platform within Data Technology, part of Treasury & Trade Services to transform and digitize the business. If you are a technologist at heart, this is an amazing opportunity for you. As a key member of the Big Data Platform team, you will work closely with full stack data developers, engineers, DevOps team members, Production Support partners and the larger technology organization. Big Data Platform Team is responsible to get high-quality products and new features built, tested, released and supported on time for Big Data Technology as part of Treasury & Trade Services at Citi.
This role is for a Big Data Platform Senior Engineer responsible to define, improve and handle latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning/forecasting along with all aspects of non-functional requirements for the Cluster.
This role work closely with the development and operations by applying a software engineering mindset to system administration. They will also work closely with Central Cluster Admins and Production Support team members and ensure all components on the cluster including Application security and monitoring. This role requires flexibility to split time between operations and developing systems/solutions. This includes on-call duties to support efforts on weekends/outside regular office hours required to help increase site reliability and performance.
**Required Qualifications:**
+ 5 - 8 years of experience
+ 5+ years of relevant experience in an Engineering role
+ Minimum of 1-2 years of professional experience in Big Data Technologies and 2-3 years additional large enterprise system administration.
+ 2+ Years of experience in Cloudera Hadoop (Version 5.6 or higher)
+ Expertise in Cloudera Hadoop Distributed File System, YARN, ZooKeeper, Oozie
+ Experience with NoSQL databases like Hive/HBase/Impala
+ Experience in of Kafka, HBase, Hive, Impala, Spark, and Kerberos authentications.
+ Experience in developing shell and Unix scripting
**Preferred Qualifications:**
+ Expertise in Troubleshooting Cluster issues, root Cause Analysis
+ Expertise in management and troubleshooting of Spark Jobs.
+ Expert level knowledge of debugging deployment issues on the cluster
+ Experience in supporting users to debug job failures for Batch and Real-time
+ Experience with Kudu & Solor
+ Working knowledge of Docker / OpenShift registry.
+ Knowledge of Autosys, AppDynamics, Geneos ITRS, uDeploy, Jenkins and other tools are a plus.
+ Understanding of AWS, Snowflake, Couchbase or other distributed cloud-based technologies is also a plus.
+ Experience working in a large complex and/or global environment
+ Consistently demonstrates clear and concise written and verbal communication
+ Ability to work in a matrix environment and partner with virtual teams
+ Ability to work independently, multi-task, and take ownership of various parts of a project or initiative
**Education:**
+ Bachelors degree/University degree or equivalent experience
+ Hadoop / Cloudera / Other Big Data Certifications preferred
Citi Canada is an equal opportunity employer. Accordingly, we will make accommodations to respond to the needs of people with disabilities (including, without limitation, physical and mental health disabilities) during the recruitment process and otherwise in accordance with law. Individuals who view themselves as Aboriginals, members of visible minority or racialized communities, and people with disabilities are encouraged to apply.
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**Job Family Group:**
Technology
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**Job Family:**
Systems & Engineering
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**Time Type:**
Full time
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Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.
