Description

J.C. Penney Services India Pvt. Ltd., Bangalore, India

Designation: Lead Engineer

Location: Bangalore, India

J.C. Penney Company, Inc. Bangalore, India

JCPenney is the shopping destination for diverse, working American families. With inclusivity at its core, the Company’s product assortment meets customers’ everyday needs and helps them commemorate every special occasion with style, quality, and value. JCPenney offers a broad portfolio of fashion, apparel, home, beauty, and jewelry from national and private brands and provides personal services including salon, portrait, and optical. The Company and its 50,000 associates worldwide serve customers where, when, and how they want to shop – from jcp.com to more than 650 stores in the U.S. and Puerto Rico.

The JCPenney Services India office opened in 2016 and is an extension of the JCPenney office in the US. With over 700 employees, the center provides critical functions including technology, e-commerce operations, retail operations, merchandising, and other capabilities. The JCPSI center is not only an alternative location but critical to JCPenney’s long term strategy.

For additional information, please visit jcp.com and follow JCPenney India on LinkedIn and Instagram.

Responsibilities:

• 8-10 Years of experience in Analyzing and translating business needs into long-term solution data models.
• Evaluating existing data systems.
• Working with the development team to create conceptual data models and data flows.
• Developing best practices for data coding to ensure consistency within the system.
• Reviewing modifications of existing systems for cross-compatibility.
• Implementing data strategies and developing physical data models.
• Updating and optimizing local and metadata models.
• Evaluating implemented data systems for variances, discrepancies, and efficiency.
• Troubleshooting and optimizing data systems.

Requirements:

• Bachelor's degree in computer science, information technology, or a similar field.
• 4+ years of hands-on experience with physical and relational data modeling.
• Expert knowledge of metadata management and related tools.
• Knowledge of mathematical foundations and statistical analysis.
• Strong interpersonal skills.
• Experience with team management.
• Excellent communication and presentation skills.
• Advanced troubleshooting skills.