NatWest Group | Jobs | Data Engineer Lead | BigDataKB.com | 31-01-22

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Job Location: Gurgaon/Gurugram

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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 a Data Engineer Lead

  • This is an exciting opportunity to use your technical expertise to collaborate with colleagues and senior leaders to build effortless, digital-first customer experiences
  • Youโ€™ll be simplifying the bank through developing innovative data driven solutions, inspiring to be commercially successful through insight, and keeping our customersโ€™ and the bankโ€™s data safe and secure
  • Participating actively in the data engineering community, youโ€™ll have opportunities to support our strategic direction while building your network across the bank

What you’ll do

Weโ€™ll look to you to lead and inspire a team of data engineers to drive value from data for our customers. Youโ€™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 bankโ€™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

The skills you’ll need

To be successful in this role, youโ€™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.

Youโ€™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

It would be ideal if you have experience of using Oracle, Unix scripting, Java, cloud, API, NoSQL and Kafka.

Apply Here

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