Staff Engineer, Big Data

👋🏼We're Nagarro

 We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17700+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in! 

REQUIREMENTS:

• Total Experience 5.5 years
• Strong expertise in Scala, Apache Spark, Python, and SQL with experience building scalable, distributed data processing systems.
• Hands-on experience in distributed computing using Spark and Data Engineering practices.
• Strong experience working with Spark-Scala.
• Strong proficiency in Python for data engineering and processing tasks.
• Strong proficiency in SQL and working with databases (preferably Postgres).
• Solid understanding of Object-Oriented Programming and development principles.
• Experience building solutions that scale over huge data volumes efficiently within reasonable timeframes.
• Experience working in Agile Scrum or Kanban development environments.
• Hands-on experience with version control systems (preferably Git).
• Experience with CI/CD pipelines and automated testing including integration, delta, load, and performance testing.
• Ability to identify dependencies, risks, and bottlenecks proactively and resolve them in collaboration with Engineering Managers.
• Strong understanding of system design, scalability, and performance optimization.

RESPONSIBILITIES:

• Be the expert on the product within the team and assist the Lead and Engineering Manager on technical topics when required.
• Assist and mentor team members to perform their activities efficiently.
• Perform requirement understanding, generalize requirements, and convert them into development plans.
• Participate in design discussions and conduct code reviews.
• Build efficient and scalable solutions capable of handling large data volumes.
• Act as a subject matter expert for focus areas across the technology stack.
• Identify dependencies, risks, and bottlenecks proactively and work with the Engineering Manager to resolve them.
• Actively contribute to breaking down work into releasable pieces of value.
• Define and contribute to success measurements including Definition of Done (DOD).
• Demonstrate business value in frequent Agile ceremonies.
• Maintain living documentation of the domain and platform to enable knowledge sharing and distribution.

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.