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JPMorgan Software Engineer III - Big Data 
India, Telangana, Hyderabad 
694208414

14.09.2024

Job responsibilities

  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
  • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
  • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
  • Contributes to software engineering communities of practice and events that explore new and emerging technologies
  • Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • Full Software Development Life Cycle experience within an Agile framework
  • Expert-level implementation skills with Java, AWS, Database technologies, Python, Scala, Spark, Ab Initio.
  • Experience with the development and decomposition of complex SQL (RDMS Platforms)
  • Experience with Data Warehousing concepts (including Star Schema)
  • Practical experience in delivering projects in Data and Analytics, Big Data, Data Warehousing, Business Intelligence. Familiar with relevant technological solutions and industry best practices
  • Good understanding of data engineering challenges and proven experience with data platform engineering (batch and streaming, ingestion, storage, processing, management, integration, consumption)
  • Familiar with multiple Data & Analytics technology stacks
  • Aware of various Data & Analytics tools and techniques (e.g. Python, data mining, predictive analytics, machine learning, data modelling, etc.)
  • Experience with one or more leading cloud providers (AWS/Azure/GCP)

Preferred qualifications, capabilities, and skills

  • Ability to work fast and quickly ramp up on new technologies and strategies.
  • Appreciation of Controls and Compliance processes for applications and data.
  • In depth understanding of data technologies and solutions is preferable.
  • Drive Process improvements and implement process changes as necessary.
  • Knowledge of industry-wide Big Data technology trends and best practices