Verified Job
IT / Software / Data Analyst
Software Engineer III - Java, Cloud PySpark
IT / Software / Data Analyst
#657023
Remote / WFH
Job Description
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
ABOUT US
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
ABOUT US
