Software Engineer III- Data Engineer
Software Engineer III- Data Engineer
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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 Consumer & Community Banking you serve as a seasoned member of an agile team to design and deliver trusted marketleading 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 and implement processes and procedures to identify monitor and mitigate data risks within the product.
- Design and implement complex scalable solutions to efficiently process data ensuring consistent and timely delivery and availability.
- Focus on building robust systems that can handle large volumes of data with minimal downtime.
- Develop solutions using Agile DevOps methodologies and continuous integration/continuous deployment (CI/CD) practices on public cloud platforms.
- Troubleshoot and resolve complex issues related to data architecture including data ingestion indexing and search performance.
- Create reusable frameworks with a strong emphasis on quality and longterm sustainability.
- Perform root cause analysis on data to answer specific business questions or issues.
- Integrate data from multiple sources including structured semistructured and unstructured data and implement data quality checks and validation processes to ensure the accuracy completeness and consistency of the data.
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
- Adds to team culture of diversity equity inclusion and respect
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and 3 years applied experience
- Formal training or certification on SQL concepts and Spark
- Proficient in database management with experience in both relational databases (SQL) and NoSQL databases.
- Handson experience in data pipelines and ETL/ELT processes using Python and SQL.
- Handson 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
- Solid understanding of agile methodologies such as CI/CD Application Resiliency and Security
- Demonstrated experience developing debugging and tuning complex SQL statements.
- Experience working on realtime and streaming applications with a solid grasp of agile methodologies including CI/CD application resiliency and security best practices.
- Exceptional understanding of distributed systems and cloud platforms with expertise in performing data transformations to enhance data quality and usability.
Preferred qualifications capabilities and skills
- Relevant industry experience preferably in a data engineering role focused on Risk and Finance data
- Experience with advanced data streaming and transformation tools.
- Experience with Kubernetes for container orchestration is a plus.
- Be a team player and work collaboratively with team members.
Employment Type
Full-Time
