The RBS Bank(Natwest Group) is inviting Job applications for the vacancy of ‘Data Engineer’ in Delhi, India which would entitle with all International benefits. Interested candidates can check their eligibility and apply to this job post.
Job Post: Data Engineer
Salary: Best in Segment
Location: Delhi, India
Organization: RBS Bank, Delhi
Last date to Apply: 4th April 2021
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Job Summary
- 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 safe and secure
- Participating actively in the data engineering community, you’ll deliver opportunities to support our strategic direction while building your network across the bank
Duties will include:
We’ll look to you to drive value for the customer through modelling, sourcing and data transformation. You’ll be working closely with core technology and architecture teams to deliver strategic data solutions, while driving Agile and DevOps adoption in the delivery of data engineering.
We’ll also expect you to be:
- Delivering the automation of data engineering pipelines through the removal of manual stages
- Developing comprehensive knowledge of the bank’s data structures and metrics, advocating change where needed for product development
- Educating and embedding new data techniques into the business through role modelling, training and experiment design oversight
- Delivering data engineering strategies to build a scalable data architecture and customer feature rich dataset for data scientists
- Developing solutions for streaming data ingestion and transformations in line with streaming strategy
Essential qualifications
To be successful in this role, you’ll need to be an intermediate level programmer and Data Engineer with a qualification in Computer Science or Software Engineering. You’ll also need a strong 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.
- Experience in 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
