Data Engineer Security Engineer III
Data Engineer Security Engineer III
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Job Description
Your seniority as a data engineer puts you in the ranks of the top talent in your field. Play a critical role at one of the worlds most iconic financial institutions where security is vital.
As a Data Engineer at JPMorgan Chase within the Cybersecurity Technology Controls youserve as a seasoned member of a team that works to deliver software solutions that satisfy predefined functional and user requirements with the added dimension of preventing misuse circumvention and malicious behavior. Carry out critical technology solutions with tamperproof audit defensible methods across multiple technical areas within various business functions in support of the firms business objectives.
Job responsibilities
- Executes security solutions design development and technical troubleshooting with the ability to apply knowledge of existing security solutions to satisfy security requirements for internal clients (e.g. product platform application owners)
- Creates secure and highquality production code and maintains algorithms that run synchronously with appropriate systems
- Applies specialized tools scanner) to analyzeand correlate incident data toidentify interpret andsummarize the probability andimpact of threats whendetermining specificvulnerabilities
- Leads delivery of continuityrelated awareness training educational activities andexercises
- Adds to team culture of diversity equity inclusion and respect
- Design Build and Deploy scalable ETL pipelines leveraging Trino pySpark AWS Services (S3 Glue) for largescale data processing.
- Leverage AWS Services such as S3 SNS Athena for storage data query in the cloud environment.
- Use tools like Kestra/Airflow to automate schedule and monitor complex data workflows ensuring smooth data flows and timely .
- Use a wide array of data formats appropriate for building a Modern Data Stack
- Leverage Docker and Kubernetes for containerization and orchestration to achieve scalable deployments.
- Write and Optimize SQL queries for transformation analysis with focus on performance.
Required qualifications capabilities and skills
- Formal training or certification ondata engineeringconcepts and 3 years applied experience
- Experience developing security engineering solutions
- Proficient in coding in one of more languages
- Overall knowledge of the Software Development Life Cycle
- Solid understanding of agile methodologies such as CI/CD application resiliency and security
- Knowledge of AWS services such as S3 Athena SNS SQS Glue
- Experience with Apache Airflow and/or Kestra for automating data flows
- Proficiency in pySpark for data processing
- Proven experience with data formats open table formats and data partitioning
- Cloud computing: Amazon Web Service Docker Kubernetes.
- Experience in big data technologies: Kafka Iceberg
- Hands on experience on Terraform
- Experience in distributed system design and development
- AWS Certification is a plus
Employment Type
Full-Time
