OH, United States
1 day ago
PySpark / AWS / Databricks / Software Engineer II

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Software Engineer II at JPMorganChase within the Employee Platforms team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job responsibilities

 

Writes secure and high-quality code using the syntax of at least one programming language with limited guidanceDesigns, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implicationsApplies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automationApplies technical troubleshooting to break down solutions and solve technical problems of basic complexityGathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application developmentLearns and applies system processes, methodologies, and skills for the development of secure, stable code and systemsAdds to team culture of diversity, opportunity, inclusion, and respectImplement robust monitoring and alerting systems to proactively identify and address data ingestion issues, optimizing performance and throughputImplement data quality checks and validation processes to ensure accuracy and reliability of dataDesign and implement scalable data frameworks to manage end-to-end data pipelines for workforce data analyticsShare and develop best practices with Platform and Architecture teams to improve data pipeline framework and modernize the workforce data analytics platform

 

 

Required qualifications, capabilities, and skills

 

Formal training or certification on software engineering concepts and 2+ years applied experienceHands-on practical experience in system design, application development, testing, and operational stabilityExperience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languagesDemonstrable ability to code in one or more languagesExperience across the whole Software Development Life CycleExposure to agile methodologies such as CI/CD, Application Resiliency, and SecurityEmerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)Proficiency in data processing frameworks and tools (Parquet, Iceberg, PySpark, Glue, Lambda, AWS, EMR, Athena, and Redshift)Proficiency in programming languages (3+ years) such as Python and Scala for data processing and application developmentExperience with scheduling tools (Autosys or Airflow) to automate and manage job scheduling for efficient workflow execution

 

 

Preferred qualifications, capabilities, and skills

 

Familiarity with modern front-end technologiesExposure to cloud technologiesProficiency in Relational Databases (Oracle or SQL Server)Skilled in writing Oracle SQL queries utilizing (DML, DDL and PL/SQL) AWS CertificationDatabricks knowledge
Por favor confirme su dirección de correo electrónico: Send Email