Beschreibung
Overview of business area or project:
My client has a contract vacancy for a candidate who will join an existing team responsible for delivering the Strategic Big Data capability. Specifically, they will be involved in engineering and supporting a product in the Big Data space for an internal clients. The tools are centred on the provision of Big Data and Machine Learning capabilities for clients and success in delivering these are crucial elements of a wider program.
Key Responsibilities
We are looking for a talented and experienced individual to support, engineer, document and commoditise extensions to current data repositories. The role requires a highly skilled engineer to provide excellence on user support on existing functionality. The role will also require delivering against engineering deliverables.
Challenges Contractor will be facing in this role:
This will be a client facing role
The candidate will need to pivot between support roles and engineering roles they will hold
Integration of tools into the ecosystem
Communication and alignment with firm standards adopted by multiple teams inside Credit Suisse
Essentials Skills and Qualifications:
A place on a team that's on the edge of technological capability
Tools for semantic reasoning and ontological data normalisation (RDF, SPARQL, Tamr)
A hands-on support role with live client engagements
Opportunity for client engineering engagements
Large-scale distributed data analytic platforms and compute environments (Spark, Map/Reduce)
Room to improve capabilities in monitoring and technical incident management
Support (L1-L3) of users through technical issues
Opportunity to experience and integrate with the Credit Suisse high-security environment
Enterprise-grade Linux Servers requiring configuration around deployment, installation and deployment
A position with the ability to shape and drive architectural decisions to achieve high value results
Desired Skills and Qualifications:
Experience with ElasticSearch
Experience with infrastructure including hardware configuration, cooling and performance optimization
Experience with data management and engineering including ingestion, transformation, standardization and performance management on a large scale
Experience with Distributed Compute frameworks such as Hadoop
Strong knowledge of security technologies such as Kerberos and SSL
Experience with automated deployment technologies such as Ansible or Puppet
Experience in an architectural role with good understanding of a range of systems
Experienced with having technical conversations with clients as well as senior and external partners
Strong business analysis skills with the ability to rapidly understand technical requirements from a non-technical specification
Experience in managing projects
Ability to operate on multiple projects simultaneously
Experience in a large corporate environment
Experience in working in a highly confidential environment
Needs to be proactive and drive engagement
Experience with toolsets such as JIRA, SVN and Ansible
Strong team player
Please contact Stuart Holman or email.