Data Engineer Iii - Postgresql & Mongodb Admin @ JPMorgan Chase Bank

Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.

As a Data Engineer III at JPMorgan Chase within the Corporate Technology , you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm s business objectives.

Job responsibilities

• Support the review of controls to ensure sufficient protection of enterprise data.
• Advise and make custom configuration changes in one to two tools to generate a product at the business or customer request.
• Update logical or physical data models based on new use cases.
• Frequently use SQL and understand NoSQL databases and their niche in the marketplace.
• Implement backup, recovery, and disaster recovery (DR) plans.
• Monitor database capacity, space, logs, and performance metrics.
• Manage database security, access control, and user privilege management.
• Conduct database health checks, troubleshoot, and resolve issues in real-time.
• Script using Shell and Python, and utilize database tools.
• Configure and maintain MongoDB replica sets, sharding, and failover mechanisms.

Required qualifications, capabilities, and skills

• Formal training or certification in software engineering concepts and 3+ years of applied experience.
• Experience across the data lifecycle
• Advanced at SQL (e. g. , joins and aggregations)
• Working understanding of NoSQL databases
• Expertise in PostgreSQL MongoDB DBA.
• Strong expertise in SQL, PL/pgSQL, and NoSQL (MongoDB queries, aggregation, and indexing).
• Hands-on experience with PostgreSQL replication, partitioning, and tuning.
• Experience managing MongoDB Atlas, Sharded Clusters, and Performance tuning.
• Familiarity with database monitoring tools such as Prometheus, Grafana, or CloudWatch.
• Strong knowledge of database security best practices and encryption techniques.
• Experience in automating DB tasks using Bash, Python, or Ansible.

Preferred qualifications, capabilities, and skills

• MongoDB Certified DBA
• PostgreSQL Professional Certification
• AWS Certified Database - Specialty / Data Engineer (preferred but not mandatory)
• Experience working with cloud-based databases (AWS RDS, Azure Cosmos DB, GCP Cloud SQL) is a plus.