Software Engineer III - Pyspark

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 and Community Banking- JP Wealth Management, 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
• Recommend improvements and modifications on new and existing data and ETL pipelines.  
• Create data analytics for data scientists to innovate, build and optimize our ecosystem
• Assemble large, complex data sets that meet functional and non-functional business requirements
• Be responsible for ingesting data into our data lake and providing frameworks and services for operating on that data including the use of Spark

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Proficient in coding in one or more languages
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Overall knowledge of the Software Development Life Cycle
• Analyze, debug and correct issues with data pipelines
• Operate on or build solution required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, AWS and Spark technologies.
• Collaborate with product teams to resolve data quality issues promptly.

Preferred qualifications, capabilities, and skills

•  Experience implementing Data pipelines preferably in connection with Hadoop or Spark with Java or Python
• Exceptional coding and design skills in Java or Python and PYSPARK
• Experience with API calls for data extraction
• Good knowledge of using SQL and analytical queries
• Experience in JAVA,PYSARK and AWS Implementations