BigData engineer India L3 role

Data Engineering Hyderabad, India


Description

Position at Ness Digital Engineering (India) Private Limited

Why Ness
We know that people are our greatest asset. Our staff’s professionalism, innovation, teamwork, and dedication to excellence have helped us become one of the world’s leading technology companies. It is these qualities that are vital to our continued success. As a Ness employee, you will be working on products and platforms for some of the most innovative software companies in the world.

You’ll gain knowledge working alongside other highly skilled professionals that will help accelerate your career progression. 

You’ll also benefit from an array of advantages like access to trainings and certifications, bonuses, and aids, socializing activities, and attractive compensation.

Requirements and responsibilities
Ratings Data Services team is seeking a strong hands-on Senior Big data Developer/Engineer will work along in a small team of developers focused on managing and growing the enterprise big data platform. Candidate should have experience with all phases of software development cycle, including operations.  Candidate must be a quick learner who is highly motivated and willing to tackle new technologies while being able to work collaboratively as part of a team or independently. Candidate must be able to manage multiple tasks and should be able to communicate effectively. This is a hands-on position requiring strong analytical, architecture and development skills.

What you’ll do
  • Work closely with technology partners on feature definition, business case development, and overall direction of the enterprise data services platform.
  • Ensure platform is operating efficiently and effectively
  • Oversee and lead software development efforts
  • Provide guidance on routine to highly complex problems to team members
  • Align to enterprise software development practices

What you’ll bring
We’re looking for an experienced big data developer who can be part of a distributed team and efficiently managing the existing integrated data platform capabilities, while simultaneously enabling innovation and growth by introducing new capabilities - someone with passion for what they do and a vision for the future.
  • Hands on development experience of 7+ years in Databricks platform and writing Apache/PySpark jobs using Python and Scala. Must possess working experience in Kafka, Hive, AWS and Azure platforms.
  • Design and development of applications for Advanced analytical, data innovation systems.
  • Participate in multiple software development processes including Coding, Testing, De-bugging & Documentation.
  • Develop software applications based on clear business specifications.
  • Work on new initiatives and support existing Ratings applications.
  • Perform Application & System Performance tuning and troubleshoot performance issues.
  • Integrate in-house applications with various vendor software platforms.
  • Setup development environment / sandbox for application development.
  • Check-in application code changes into the source repository.
  • Perform unit testing of application code and fix errors.
  • Effectively interact with customers, business users and IT staff.
  • Participate in internal/cross-team meetings, project scoping, functional reviews, and technical reviews for assigned projects in an Agile environment.
  • Garbage collection friendly programming experience - tuning Java garbage collection & performance is a must.
  • Excellent communication skills are essential, with strong verbal and written proficiency.

Not checking every single requirement?
If this role sounds good to you, even if you don’t meet every single bullet point in the job description, we encourage you to apply anyway. For most of the candidates that applied, we found a role that was a very good fit with their skills.
Let’s meet and you may just be the right candidate for one of our roles.

At Ness Digital Engineering we are willing to build a work culture that is based on diversification, inclusion, and authenticity.