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Lead Data Engineer

5 years

8 - 9 Lacs

Posted:1 day ago| Platform: GlassDoor logo

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On-site

Job Type

Part Time

Job Description

Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference.

As a Lead Data Engineer at JPMorgan Chase within the Consumer & Community Banking Team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

  • Generates data models for their team using firmwide tooling, linear algebra, statistics, and geometrical algorithms
  • Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way
  • Implements database back-up, recovery, and archiving strategy
  • Evaluates and reports on access control processes to determine effectiveness of data asset security with minimal supervision
  • Adds to team culture of diversity, equity, inclusion, and respect
  • Designing Database, infrastructure architecture disciplines, and business processes.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience in Amazon Aurora PostgreSQL Database Administration /Engineering.
  • Administer, design, implement, and support highly available and scalable AWS RDBMS & Distributed database solutions.
  • Experience in AWS Cloud Relational and NoSQL database management, including AWS Aurora PostgreSQL, AWS RDS, DynamoDB, data replication, and AWS monitoring tools.
  • Implement data models, database designs, data access, and table maintenance codes.
  • Maintain databases with high availability features using data partitioning and database replications.
  • Resolve database performance, capacity, replication, and other data issues.
  • Collaborate with Information Architects and Database Designers to implement the physical data model.
  • Experience with Atlassian tools like Jira and Confluence.

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