The Software Engineer III will build ML models, design data pipelines in Spark, and work with big data technologies to support business objectives.
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 corporate technology, 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
Required Qualifications, Capabilities, and Skills
Preferred Qualifications, Capabilities, and Skills
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 corporate technology, 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
- Build pipelines in Spark and tune Spark queries.
- Possess advanced knowledge of application, data, and infrastructure disciplines.
- Design, build, and maintain ML models in production, working closely with modelers and business stakeholders.
- Apply knowledge of machine learning model frameworks, algorithms, and tools for building ML solutions.
- Create and maintain technical documentation.
- Contribute to the group's knowledge base by finding new and valuable ways to approach problems and projects.
- Stay up-to-date with the latest advancements in GenAI and LLM technologies and incorporate them into our data engineering practices.
Required Qualifications, Capabilities, and Skills
- Formal training or certification on software engineering concepts and 3+ years applied experience.
- Background with Machine Learning Frameworks and Big Data technologies such as Hadoop.
- Strong experience in programming languages such as Java or Python.
- Experience with Python Machine Learning libraries and ecosystems (e.g., Pandas and Numpy).
- Experience with Cloud technologies such as AWS or Azure.
- Experience working with databases such as Cassandra, MongoDB, or Teradata.
- Knowledge of build tools like Maven and source control like Git/SVN.
Preferred Qualifications, Capabilities, and Skills
- Familiarity with modern front-end technologies.
- Exposure to cloud technologies.
Top Skills
AWS
Azure
Cassandra
Git
Hadoop
Java
Maven
MongoDB
Numpy
Pandas
Python
Spark
Svn
Teradata
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