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JPMorgan Software Engineer II - Data Analytics Developer 
India, Karnataka, Bengaluru 
386857047

29.06.2024

Job responsibilities

  • Executes standard software solutions, design, development, and technical troubleshooting
  • 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
  • Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 2+ years applied experience
  • Hands on coding with Python, AWS Services (like Lambda, Glue, ECS, Lake Formation, SNS, SQS, S3, Step functions etc.), Terraform, Snowflake and Starburst.
  • Knowledge of Table Formats like Iceberg and file formats like JSON, Avro, parquet is required.
  • Must have hands-on experience in agile methodologies and building pipelines adhering to CI/CD.
  • Must have solid understanding of Application Resiliency, Security.
  • Hands-on practical experience in system design, object-oriented development using common design patterns, automated testing, and ensuring 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 like SQL.
  • 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
  • Experience across the whole Software Development Life Cycle
  • Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

  • Knowledge of Databricks, Kafka and Kubernetes would be preferable.
  • Demonstrable ability to code in one or more languages
  • Hand-on Knowledge of ML Ops will be an added advantage.
  • Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)