Security Engineer III - Data Engineer

Overview

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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.

• 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.
• Document data engineering processes, workflows, and systems for reference and knowledge-sharing purposes.
• Add to team culture of diversity, opportunity, inclusion, and respect.

• Formal training or certification on SQL concepts and proficient applied experience.
• Proficient in database management, with experience in both relational databases (SQL) and No
  
  SQL 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.

• 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.

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most…