Staff Engineer, Big Data at Nagarro1

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.