Security Engineer III - Data Engineer
JPMorganChase
Security Engineer III - Data Engineer
Job Information
- Job Identification 210661811
- Job Category Security Engineering
- Business Unit Corporate Sector
- Posting Date 09/02/2025, 12:50 PM
- Locations Chaseside - Dorset Building, Bournemouth, Dorset, BH7 7DA, GB
- Job Schedule Full time
Job Description
As a Data Engineer at JPMorgan Chase within the Cybersecurity and Technology Controls, you'll leverage your skills to develop and implement robust data solutions using cutting-edge technologies. You'll play a critical role in analyzing complex data structures, ensuring data accuracy, and enhancing our security analytics capabilities. Collaborate with cross-functional teams to drive innovation, implement scalable solutions, and protect our digital assets. Your contributions will be pivotal in shaping the future of cybersecurity, fostering a culture of excellence, and ensuring the integrity and security of our data infrastructure.
Job Responsibilities:
- Design and implement complex, scalable solutions to efficiently process large volumes of data, ensuring consistent and timely delivery and availability.
- 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 long-term sustainability.
- Collaborate with key partners to enhance understanding of data usage within the business.
- Serve as a subject matter expert on the content and application of data in the product and related business areas.
- Integrate data from multiple sources, including structured, semi-structured, and unstructured data.
- Implement data quality checks and validation processes to ensure the accuracy, completeness, and consistency of the data.
- Analyze complex data structures from various security data sources and scale data engineering pipelines.
- Perform all Data Engineering job activities, including ELT project development, testing, and deployment activities.
- Documents data engineering processes, workflows, and systems for reference and knowledge-sharing purposes
- Add to team culture of diversity, opportunity, inclusion, and respect.
Required Qualifications, Capabilities, and Skills:
- Formal training or certification on SQL concepts and proficient applied experience
- Proficient in database management, with experience in both relational databases (SQL) and NoSQL databases.
- Experience with Python and SQL.
- Expertise in Python and Java development.
- Extensive experience with Big Data technologies, including Spark, Hive, Redshift, Kafka, and others.
- Strong understanding of ETL/ELT frameworks and tools, including DBT, Apache Airflow, Trino, Kestra, or similar technologies.
- Hands-on experience in data pipelines and ETL/ELT processes using Python and SQL.
- Experience with Kafka data streaming or other streaming/messaging services like Kinesis, SNS, SQS.
- Demonstrated experience developing, debugging, and tuning complex SQL statements.
- Experience working on real-time and streaming applications.
- Exceptional understanding of distributed systems and cloud platforms.
- Skilled in working with data streaming platforms such as Apache Flink and Apache Kafka.
- Expertise in performing data transformations to enhance data quality and usability.
- Comprehensive knowledge of the Software Development Life Cycle.
- Solid grasp of agile methodologies, including CI/CD, application resiliency, and security best practices.
Preferred Qualifications, Capabilities, and Skills:
- Relevant industry experience, preferably in a data engineering role focused on threat detection and security analytics.
- Experience with advanced data streaming and transformation tools.
- Experience with Kubernetes for container orchestration is a plus.
- Experience onboarding datasets to Splunk , ensuring CIM compliance.
- Be a team player and work collaboratively with team members.
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