Jobs

Data Scientist


Job details
  • Adecco
  • London
  • 4 weeks ago

Role

Profile

We are currently seeking a skilled and experienced Data Scientist on behalf of our client, a reputable investment banking firm. As a Data Scientist with our client, you will have the opportunity to work on various projects and contribute to the success of their data-driven initiatives.



Responsibilities:



Translate requirements and data mapping documents into technical ETL designs.
Create and review high-level design solutions.
Perform technical walkthroughs of amended DataStage ETL solutions for peer reviews.
Develop, enhance, and maintain ETL code following best practises and standards.
Create and execute unit testing plans and support regression and system test efforts.
Debug and troubleshoot issues found during testing and production stages.
Promote DataStage ETL code using Perforce and Urban Code deployment tools.
Evaluate data for completeness and correctness, ensuring ETL code is working as expected.
Create basic reconciliations to demonstrate how the ETL interfaces meet acceptance criteria.
Communicate project status, issues, and blockers to the project manager and ETL team lead.
Support continuous improvement of ETL interfaces by identifying and solving opportunities.
Update and publish documentation, system diagrams, presentations, workflows, and project plans.
Attend project and ETL meetings.
Perform knowledge transfer sessions to ETL production support and development team.
Assist the production support team in resolving production incidents related to ETL processes when required.


Accountabilities:



Ensure all deliverables meet internal standards and industry best practises within the agreed timeframe.
Maintain clear and transparent communication with key stakeholders.
Take responsibility for project deliverables related to assigned initiatives.
Manage IT-related risks and issues, escalating them to appropriate management when necessary.
Contribute to strategic discussions and propose recommendations to IT management.
Troubleshoot, perform root cause analysis, and conduct data analysis for BAU support requests.
Keep track of, escalate, and resolve IT-related risks and issues.


Required Skills and Experience:



Strong understanding of IBM DataStage architecture and components.
Familiarity with DataStage Designer, Director, and Administrator.
Knowledge of DataStage jobs, stages, and data connections.
Experience with parallel job design and development.
Proficiency in relational databases (e.g., IBM Db2, Oracle, SQL Server) and SQL and PL/SQL programming.
Proven track record in designing, developing, and deploying DataStage jobs.
Ability to create complex ETL processes using DataStage and connectors.
Experience in performance tuning of DataStage jobs.
Proficiency in data transformation and applying data quality and cleansing routines.
Ability to integrate data from various sources and handle both structured and unstructured data.
Strong problem-solving and debugging skills in identifying and resolving ETL job failures.
Previous hands-on experience with different versions of IBM DataStage.
Project experience involving full project lifecycles, from requirements gathering to deployment and maintenance.
Ability to work in Agile or Waterfall project environments.
Proficiency in writing complex SQL queries and stored procedures.
Experience working with large datasets and optimising queries for performance.


Candidates will need to show evidence of the above in their CV in order to be considered.



If you feel you have the skills and experience and want to hear more about this role 'apply now' to declare your interest in this opportunity with our client. Your application will be observed by our dedicated team.



We will respond to all successful applicants ASAP however, please be advised that we will always look to contact you further from this time should we need further applicants or if other opportunities arise relevant to your skillset.



Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.



As part of our standard hiring process to manage risk, please note background screening checks will be conducted on all hires before commencing employment.


To speak to a recruitment expert please contact

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