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JPMorgan Lead Software Engineer - Java Hadoop AWS 
India, Telangana, Hyderabad 
378307178

09.07.2024

Job responsibilities

  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Develops secure high-quality production code, and reviews and debugs code written by others
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge 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 5+ years of 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 language.
  • Hands-on practical experience in developing spark-based Frameworks for end-to-end ETL, ELT & reporting solutions using key components like Spark SQL & Spark Streaming with Proficient in coding in one or more Coding languages - Java, Python
  • Experience with AWS cloud technologies, including S3 . Also, experience with Relational and No SQL databases,
  • Cloud implementation experience with AWS including AWS Data Services: Proficiency in Lake formation, Glue ETL (or) EMR, S3, Glue Catalog, Athena, Kinesis (or) MSK, Airflow (or) Lambda + Step Functions + Event Bridge
  • Data De/Serialization: Expertise in at least 2 of the formats: Parquet, Iceberg, AVRO, JSON-LD
  • AWS Data Security: Good Understanding of security concepts such as: Lake formation, IAM, Service roles, Encryption, KMS, Secrets Manager & Proficiency in automation and continuous delivery methods.
Preferred qualifications, capabilities, and skills
  • Snowflake knowledge or experience preferred
  • In-depth knowledge of the financial services industry and their IT systems