Software Engineer III - Pyspark, AWS

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