JPMorgan Software Engineer II Spark Data 

India, Telangana, Hyderabad 

916751089

Job responsibilities

• Executes standard software solutions, design, development, and technical troubleshooting
• Building pipelines in spark, tuning spark queries
• Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
• Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
• Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
• Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
• Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
• Stay up-to-date with the latest advancements in GenAI and LLM technologies and incorporate them into our data engineering practices.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 2+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Background with Machine Learning Frameworks and Big Data technologies such as Hadoop.
• Strong experience in programming languages such as Java or Python
• Python Machine Learning library and ecosystem experience ( Pandas and Numpy etc)
• Experience with Cloud technologies such as AWS or Azure.
• Experience working with databases such as Cassandra, MongoDB or Teradata
• Experience across the whole Software Development Life Cycle
• Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
• Experience with Generative AI and Large Language Models, and experience integrating these technologies into data workflows

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Exposure to cloud technologies