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Data Engineer III at JPMC Candidate Experience page

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

05 Jul, 26

Salary

0.0

Posted On

06 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Pyspark, SparkSQL, Data Bricks, AWS, SQL, NoSQL, Data Engineering, Data Modeling, Statistical Data Analysis, Agile, Data Lifecycle Management

Industry

Financial Services

Description

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 Corporate & Investment Bank, 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. 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 * 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, opportunity, inclusion, and respect * Require main skills in Pyspark, SparkSQL ,Data Bricks, AWS etc. Required qualifications, capabilities, and skills * Formal training or certification on Data Engineering concepts and 3+ years applied experience * Experience across the data lifecycle * Advanced at SQL (e.g., joins and aggregations) * Working understanding of NoSQL databases * Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis * Experience customizing changes in a tool to generate product Preferred qualifications, capabilities, and skills

Responsibilities

Design and deliver trusted data collection, storage, access, and analytics solutions within an agile team. Support the review of data controls and update logical or physical data models based on new use cases.