Sr Staff Software Engineer (Big Data)
Experience: 10-16 Years
CTC: No Bar
Responsible for designing highly complex modules, critical components or a whole application/product in its entirety. Has the vision to integrate it across multiple systems. Works independently and is seen as a technical leader. Is responsible for driving the design and development efforts related to architecture, scalability, availability and performance in alignment with the product/application roadmap.
Provides expertise in Design, Architecture, Development, Continuous Integration and Delivery.
Leads impact assessment and decision related to technology choices, design /architectural considerations and implementation strategy.
Leads the efforts across the product / multiple product versions and is an expert in custom solutions.
Defines and owns coding and design standards, ensures secure development practices, establishes expectations around performance, drives internationalization, and manages CI/CD pipelines.
Demonstrates strong communication skills; able to present at conferences and explain complex technical problems in simple terms.
Demonstrates expert level skills in collaboration with different stakeholders, influences decisions, ability to take strategic view.
Demonstrates the ability of benchmarking against competition. Expert level skills in building value proposition with total customer focus.
Bachelor’s Degree in Computer Science or in “STEM” Majors (Science, Technology, Engineering, and Math)
A minimum of 10 years of technical experience along with established leadership credentials across disciplines and functions within a product OR Master’s degree with 10 years of experience
Minimum 10 years experience in developing applications using Java, Java EE, Spring, REST, SQL.
Minimum of 4 years of experience in big data with hands-on development of batch and streaming applications using Scala, Mapreduce, HDFS, Spark, NoSQL - HBase or Cassandra or others, AWS, S3, Hive, Docker, Kafka.
Well versed with software development best practices, test-driven development, CI CD and related tools.
Deep understanding of the market and competing product offerings.
Subject matter expert in processes and methodologies with ability to adapt and improvise in various situations.
Expert in navigating through ambiguity and prioritizing conflicting asks.
Expert level skills in design, architecture and development, with an ability to take a deep dive in the implementation aspects if the situation demands.
Expert in core data structures as well as algorithms and has the ability to implement them using language of choice when necessary - as a value offering.
Advantageous to have:
Experience in building applications using Azure.
Experience in Kubernetes or Mesos.
Experience in leading a scrum team.
GE (NYSE: GE) is the world's Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. GE is organized around a global exchange of knowledge, the 'GE Store,' through which each business shares and accesses the same technology, markets, structure and intellect. Each invention further fuels innovation and application across our industrial sectors. With people, services, technology and scale, GE delivers better outcomes for customers by speaking the language of industry.