Job details
- NATURE OF JOB Hybrid — WFH / WFO / CW
- CATEGORY Programming
- SALARY RANGE Best in the industry Annual
- EXPERIENCE 1 – 3 Years
- JOB TYPE Full Time
- REGIONAL PREFRENCES India
- NO. OF VACANCIES 1
Job description
- This is an exciting opportunity to use your technical expertise to collaborate with colleagues and senior leaders to 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 have opportunities to support our strategic direction while building your network across the bank
We’ll look to you to lead and inspire a team of data engineers to drive value from data for our customers. You’ll be working closely with core technology and architecture teams to deliver strategic data solutions, while driving data engineering strategies to build a scalable data architecture and customer feature rich dataset.
You'll also be responsible for:
- Driving the automation of data engineering pipelines through the removal of manual stages
- Developing and sharing your knowledge of the bank’s data structures and metrics, advocating change where needed for product development
- Developing a strategy for streaming data ingestion and transformations
- Educating and embedding new data techniques into the business through role modelling, training and experiment design oversight
- Driving Agile and DevOps adoption in the delivery of data engineering
To be successful in this role, you’ll need at least 18 years of experience working in Technology and to be an expert level programmer and data engineer. With a qualification in Computer Science or Software Engineering, you'll bring a strong understanding of data usage and dependencies with wider teams and the end customer, as well as extensive experience in extracting value and features from large scale data.
You’ll also demonstrate:
- Experience of ETL technical design, automated data quality testing, QA and documentation, data warehousing, data modelling and data 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 abilities
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