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Software Engineer III - Java, AWS, PySpark

at J.P. Morgan

Back to all Data Engineering jobs
J.P. Morgan logo
Industry not specified

Software Engineer III - Java, AWS, PySpark

at J.P. Morgan

Mid LevelNo visa sponsorshipData Engineering

Posted 9 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Mumbai
Country
India

In this Software Engineer III role at JPMorgan Chase within the Consumer & Community Banking team, you will be a senior member of an agile team designing and delivering trusted, secure, scalable software products. You will develop secure production code, create architecture and design artifacts for complex applications, and troubleshoot issues beyond routine solutions. The position involves analyzing large, diverse data sets to drive continuous improvement of software applications and systems, and contributing to engineering communities of practice around new technologies. Required qualifications include 3+ years of software engineering experience with AWS, Java, Python, and relevant data/ETL tools.

Location: Mumbai, Maharashtra, India

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Software Engineer III at JPMorgan Chase within the Consumer & Community Banking Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

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, opportunity, inclusion, and respect

 

 

Required qualifications, capabilities, and skills

 

  • Formal training or certification in software engineering concepts and 3+ years applied experience
  • Experience with AWS cloud technologies, including S3
  • Experience with SQL-based technologies (e.g., MySQL/ Oracle DB)
  • Experience in Java and Python programming language
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
  • 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
  • Experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
  • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • 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
  • Worked with building Data lake, built Data platforms, built Data frameworks, Built/Design of Data as a Service AP
Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team

Software Engineer III - Java, AWS, PySpark

at J.P. Morgan

Back to all Data Engineering jobs
J.P. Morgan logo
Industry not specified

Software Engineer III - Java, AWS, PySpark

at J.P. Morgan

Mid LevelNo visa sponsorshipData Engineering

Posted 9 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Mumbai
Country
India

In this Software Engineer III role at JPMorgan Chase within the Consumer & Community Banking team, you will be a senior member of an agile team designing and delivering trusted, secure, scalable software products. You will develop secure production code, create architecture and design artifacts for complex applications, and troubleshoot issues beyond routine solutions. The position involves analyzing large, diverse data sets to drive continuous improvement of software applications and systems, and contributing to engineering communities of practice around new technologies. Required qualifications include 3+ years of software engineering experience with AWS, Java, Python, and relevant data/ETL tools.

Location: Mumbai, Maharashtra, India

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Software Engineer III at JPMorgan Chase within the Consumer & Community Banking Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

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, opportunity, inclusion, and respect

 

 

Required qualifications, capabilities, and skills

 

  • Formal training or certification in software engineering concepts and 3+ years applied experience
  • Experience with AWS cloud technologies, including S3
  • Experience with SQL-based technologies (e.g., MySQL/ Oracle DB)
  • Experience in Java and Python programming language
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
  • 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
  • Experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
  • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • 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
  • Worked with building Data lake, built Data platforms, built Data frameworks, Built/Design of Data as a Service AP
Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team

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