Job Description

Our people work differently depending on their jobs and needs. From home working to job sharing, visit the remote and flexible working page on our website to find out more. This role is based in India and as such all normal working days must be carried out in India. Join us as a Data Archiving Engineer

• This is an exciting opportunity to use your technical expertise to collaborate with colleagues and build effortless, digital first customer experiences
• You’ll be simplifying the bank by developing innovative data driven solutions, using insights to keep our customers’ and the bank’s data safe and secure
• This is your opportunity to participate in our data engineering community while building your network across the bank
• This role is available at associate level

What you'll do

As a Data Archiving Engineer, you’ll play a key role in delivering value for our customers by building data solutions. You'll drive data archiving and the retention platform roadmap and strategy while helping to reduce costs. You'll also promote the automation of tasks and our platforms' capabilities within D&A and wider franchises. We'll expect you to manage the resolution of issues with data archiving from start to finish while working closely with and managing stakeholder expectations. You’ll also be:

• A trusted advisor for our internal D&A customers on the best deployment for their data archiving requirements
• Developing comprehensive knowledge of the bank’s data structures and metrics, advocating change where needed for product development
• Building automated data engineering pipelines through the removal of manual stages
• Working closely with core technology and architecture teams in the bank to build data knowledge and data solutions
• Developing a clear understanding of data platform cost levers to build cost-effective and strategic solutions

The skills you'll need

To be successful in this role, you’ll need to be an entry level programmer and Data Engineer with a qualification in computer science or software engineering. We'll also expect you to have experience of using "informatica ILM data archive" tooling, UNIX, AWS S3 and shell scripting. You’ll also demonstrate:

• Experience of ETL technical design, automated data quality testing, QA and documentation, data warehousing, data modelling and wrangling
• Extensive experience using RDMS, ETL pipelines, Python, Hadoop and SQL
• A good understanding of modern code development practices
• Good critical thinking and proven problem solving capabilities and effective written and verbal communication skills