NatWest Group | Hiring | MLOps Data Engineer, VP | Bangalore | BigDataKB.com | 2022-09-28

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Job Location: Bangalore

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This role is based in India and as such all normal working days must be carried out in India.

Join us as an MLOps Data Engineer, Vice President

  • 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


What you’ll do

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


The skills you’ll need

To excel in this role, you’ll need a qualification in Computer Science, Software Engineering or a relevant quantitative discipline. You’ll have a strong understanding of data science techniques with a good knowledge of modern code development practices. You’ll also be a critical thinker with proven problem-solving abilities.

You’ll also demonstrate:

  • Experience in designing, building and deploying highly scalable and reliable data and ML pipelines on-premises and on the cloud
  • Extensive experience using RDMS, ETL pipelines, Python, Java, Scala, Hadoop and SQL
  • Experience of ETL technical design, automated Data and/or ML model Quality Testing, documentation, data warehousing, data modelling and data wrangling

Experience building CI/CD pipelines and tools using Jenkins and TeamCity will be advantageous.

Apply Here

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