Be part of a dynamic team where your distinctive skills will contribute to a
winning culture and team.
As a Data Engineer III at JPMorganChase within the Consumer and Community
Banking, 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
* Supports review of controls to ensure sufficient protection of enterprise
data
* Advises and makes custom configuration changes in one to two tools to
generate a product at the business or customer request
* Uses enterprise-authorized AI capabilities within the work environment to
accelerate data analysis support and technical documentation (e.g.,
clarifying requirements and drafting data definitions), validating outputs
and handling data according to sensitivity and security requirements.
* Applies reuse-first, AI-assisted approaches to improve data quality checks
and model/change validation routines, ensuring results are validated and
aligned to resiliency and security expectations.
* Updates logical or physical data models based on new use cases
* Frequently uses SQL and understands NoSQL databases and their niche in the
marketplace
* Adds to team culture of diversity, prospect, inclusion, and respect
Required qualifications, capabilities, and skills
* Formal training or certification on data engineering concepts and 3+ years
applied experience
* Hands-on experience using PySpark, AWS, and Python for creating data
pipelines while also owning data architecture, data quality, scalability,
governance, and operational reliability of the data platform
* Working knowledge of using enterprise-authorized AI capabilities within the
work environment to support data engineering
📌 Data Engineer (Hyderabad)
🏢 JPMorgan Chase
📍 Hyderabad
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