Software Engineer, PySpark and AWS, AVP

1 week ago

Chennai, Tamil Nadu, India Natwest Digitalx Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Join us as a Software Engineer, PySpark and AWS

  • This is an opportunity for a driven Software Engineer to take on an exciting new career challenge
  • Day-to-day, you'll build a wide network of stakeholders of varying levels of seniority
  • Its a chance to hone your existing technical skills and advance your career
  • We're offering this role at associate vice president level

What you'll do

In your new role, youll engineer and maintain innovative, customer centric, high performance, secure and robust solutions. Youll be working within a feature team and using your extensive experience to engineer software, scripts and tools that are often complex, as well as liaising with other engineers, architects and business analysts across the platform.

Youll also be:

  • Producing complex and critical software rapidly and of high quality which adds value to the business
  • Working in permanent teams who are responsible for the full life cycle, from initial development, through enhancement and maintenance to replacement or decommissioning
  • Collaborating to optimise our software engineering capability
  • Designing, producing, testing and implementing our working code
  • Working across the life cycle, from requirements analysis and design, through coding to testing, deployment and operations

The skills you'll need

Youll need a background in software engineering, software design, architecture, and an understanding of how your area of expertise supports our customers.

You'll need at least eight years of experience with PySpark and AirFlow. You'll also need experience in AWS data engineering eco systems like Athena, Glue catalog, S3 and EMR Serverless.

Youll also need:

  • Experience of working with development and testing tools, bug tracking tools and wikis
  • Experience in multiple programming languages or low code toolsets
  • Experience of DevOps, Testing and Agile methodology and associated toolsets
  • A background in solving highly complex, analytical and numerical problems
  • Experience of implementing programming best practice, especially around scalability, automation, virtualisation, optimisation, availability and performance

Hours - 45.

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