AWS & Databricks Software Engineer III
AWS & Databricks Software Engineer III
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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 enterprise technology (employee digital and service exp) 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
- Develop secure high-quality production code and data pipelines reviewing and debugging processes implemented by others.
- Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability of software applications and systems.
- Participate in evaluation sessions with external vendors startups and internal teams to drive outcomes-oriented probing of architectural designs and technical credentials.
- Work with business stakeholders to understand requirements and design appropriate solutions producing architecture and design artifacts for complex applications.
- Implement 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.
- Help 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.
- Gather analyze and synthesize large diverse data sets to continuously improve capabilities and user experiences leveraging data-driven insights.
Required qualifications capabilities and skills
- Formal training or certification in software engineering concepts with 3 years of applied experience
- 5 years in data engineering including design application development testing and operational stability.
- Advanced proficiency in data processing frameworks and tools including Parquet Iceberg PySpark Glue Lambda Databricks and AWS data services like EMR Athena and Redshift.
- Proficiency in programming languages like Python Java or Scala for data processing and application development.
- Proficiency in automation and continuous delivery methods utilizing CI/CD pipelines with tools like Git/Bitbucket Jenkins or Spinnaker for automated deployment and version control.
- Proficiency in database management and data modeling working with relational databases like Oracle or SQL Server. Skilled in writing SQL queries for efficient data management and retrieval utilizing SQL tools such as DML for data handling DDL for schema management and PL/SQL for procedural extensions in Oracle databases.
- Experience with scheduling tools like Autosys and Airflow to automate and manage job scheduling for efficient workflow execution.
- Hands-on practical experience delivering system design application development testing and operational stability with advanced understanding of agile methodologies application resiliency and security.
- Hands-on practical experience delivering system design application development testing and operational stability with advanced understanding of agile methodologies application resiliency and security.
Preferred qualifications capabilities and skills
- AWS Certification
- Databricks Certification
- In-depth knowledge of the financial services industry and their IT systems.
Employment Type
Full-Time
