PySpark AWS Databricks Software Engineer III
PySpark AWS Databricks Software Engineer III
Posted on :
23-09-2025
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1 Vacancy
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Job Description
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 JPMorganChase within the Employee Platforms 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 firms 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
- Implement robust monitoring and alerting systems to proactively identify and address data ingestion issues optimizing performance and throughput
- Implement data quality checks and validation processes to ensure accuracy and reliability of data
- Design and implement scalable data frameworks to manage end-to-end data pipelines for workforce data analytics
- Share 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 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
- Solid understanding of agile methodologies such as CI/CD Application Resiliency and Security
- Demonstrated 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 (5 years) such as Python and Scala for data processing and application development
- Experience 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 technologies
- Exposure to cloud technologies
- Proficiency in Relational Databases (Oracle or SQL Server)
- Skilled in writing Oracle SQL queries utilizing (DML DDL and PL/SQL)
- AWS Certification
- Databricks knowledge
Employment Type
Full-Time
Key Skills
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