This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Join us as an ETL Data Integration Designer at Barclays where you'll spearhead the evolution of our Barclays Payments landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our data offerings, ensuring unapparelled customer experiences. As ETL designer, you'll be acclimatizing ETL & AWS platform into the overall IT infrastructure acting as the bridge between the Data Technology team, stakeholders, and business users. This will be done in conjunction with fellow engineers, business analysts and business stakeholders, you need to take ownership for managing risk and strengthening controls in relation to the work you do. Ensure that all activities and duties are carried out in full compliance with regulatory requirements.
Job Responsibility:
Design and development of solutions as products that can evolve, meeting business requirements that align with modern software engineering practices and automated delivery tooling
Targeted design activities that apply an appropriate workload placement strategy and maximise the benefit of cloud capabilities
Best practice designs incorporating security principles
Solutions that appropriately balance risks and controls to deliver the agreed business and technology value
Adoption of standardised solutions where they fit
Fault finding and performance issues support to operational support teams
Solution design impact assessment in terms of risk, capacity and cost impact
Development of the requisite architecture inputs required to comply with the banks governance processes
Requirements:
Strong ETL and Data Integration background
Good knowledge in AWS/Cloud Architecture
Strong Tech Design Experience on ABINITIO(Technical Background in Ab Initio is preferred)
Working experience in building complex ETL Data Pipeline
Good with Data warehousing principles and implementation experience
Good understanding of Unix and SQL
Understanding of basic data modelling
Strong Data analysis skill
Understanding of ETL Scheduling Basic Data Governance Knowledge
Good Communication and stake holder management skill
Communication and Collaboration: Ability to communicate effectively with cross-functional teams and stakeholders
Documenting configurations, processes, and best practices for the team
Analytical and Problem-Solving Skills: Strong analytical skills to address complex challenges in SAS environments
A proactive approach to identifying and mitigating risks