Software Engineer III - Data Technology
- 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
- Actively contributes to the engineering community as an advocate of firm wide frameworks, tools, and practices of the Software Development Life Cycle that explore new and emerging technologies
- 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
- Formal training or certification on infrastructure engineering concepts and 3+ years applied experience
- Hands-on practical experience in system design, application development, testing, and operational stability, while in an agile development environment (using supporting tools)
- Proficient and extensive in coding/development using one or more languages and frameworks (i.e., Python, Java, Py Spark, SQL, etc.)
- Solid understanding of software applications and technical processes within a related technical discipline (e.g. data ingestion, data storage, data serving, APIs, etc.).
- Understands data lake or data warehouse and related technologies (e.g. Spark, ETL, Data bricks, Snowflake)
- Hands-on experience with AWS cloud modules (e.g. S3, EMR, EKS, ECS, Lambda)
- Practical experience delivering system design, application development, testing, and operational stability
- Ability to tackle design and functionality problems independently with little to no oversight
- Understanding of logical and physical data modeling practices including catalog registrations (e.g. Glue, Unity) and data access controls
- Overall knowledge of Software Development Life Cycle and CI/CD pipelines, including Git hub and DevOps practices
- Solid understanding on any Orchestration tools including (e.g. Control-M, Airflow, AWS Step Functions)
- Exposure to cloud technologies
- Advanced in other programming languages, such as Java is a huge plus
- Exposure to cloud providers (Azure or GCP) via hands on experience or certification
- Exposure to AI tools for automation and coding efficiency (e.g. GPT models, Claude models)
- Experience in UNIX scripting and PLSQL
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
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