Full Job DescriptionOur people work differently depending on their jobs and needs. From home working to job sharing, go to remote and flexible working 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 Modeller
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 through developing innovative data driven solutions, inspiring to be commercially successful through insight, and keeping our customers’ and the bank’s data safe and secure
Participating actively in the data engineering community, you’ll deliver opportunities to support the bank’s strategic direction while building your network across the bank
What you’ll do
As a Data Modeller, you’ll play a key role in delivering value for our customers by building data solutions. You’ll be carrying out data engineering tasks to build a scalable data architecture including carrying out data extractions, transforming data to make it usable to analysts and data scientists, and loading data into data platforms.
We’ll also expect you to be:
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. You’ll also need a good understanding of data usage and dependencies with wider teams and the end customer, as well as a proven track record in extracting value and features from large scale data.
Along with a strong understanding of relational data modelling and dimensional modelling covering conceptual, logical and physical using a modelling tool like Erwin, or Sparx Enterprise Architect, you’ll ideally have an understanding of RDBMS, Hadoop, and Snowflake. Experience in Data Vault, FSLDM and Cloud Services would be beneficial.
You’ll also demonstrate:
Good critical thinking and proven problem solving capabilities
Experience of ETL technical design, automated data quality testing, QA and documentation, data warehousing, data modelling and data wrangling
Experience in SQL, data mapping, data analysis, data lineage and source to target mapping documentations
Extensive experience using RDMS, ETL pipelines, Python, Hadoop and SQL
A good understanding of modern code development practices
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