Lead Data Engineer - VP

JPMorganChase; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A leading financial institution seeks a Lead Data Engineer in Hyderabad to enhance and deliver data solutions. The ideal candidate will have over 5 years of experience in data lifecycle management, proficiency in Java/Spark, and hands-on experience with AWS and Kubernetes. Responsibilities include architecting data solutions and managing end-to-end data pipelines. Join a diverse team committed to innovation and quality service.

Qualifications

• 5+ years of experience managing data lifecycle.
• Proficient in modern programming languages.
• Strong understanding of domain driven design.

Responsibilities

• Architect and oversee design of complex data solutions.
• Build and manage cloud-native data pipelines in AWS.
• Conduct feasibility studies and process redesign.

Skills

Java/Spark

AWS services

System design

Micro-services patterns

Agile methodologies

Software Development Life Cycle

Education

Formal training or certification in software engineering

Tools

IBM MQ

Apache Kafka

Kubernetes

Job description

Overview

As a Lead Data Engineer at JPMorgan Chase within the CCB (Connected Commerce), 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. You are a core technical contributor responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.

Responsibilities

• Architect and oversee the design of complex data solutions that meet diverse business needs and customer requirements.


• Guide the evolution of logical and physical data models to support emerging business use cases and technological advancements.


• Build and manage end-to-end cloud-native data pipelines in AWS, leveraging hands-on expertise with AWS components.


• Build analytical systems from the ground up, providing architectural direction, translating business issues into specific requirements, and identifying appropriate data to support solutions.


• Work across the Service Delivery Lifecycle on engineering major/minor enhancements and ongoing maintenance of existing applications.


• Conduct feasibility studies, capacity planning, and process redesign/re-engineering of complex integration solutions.


• Help others build code to extract raw data, coach the team on techniques to validate its quality, and apply deep data knowledge to ensure the correct data is ingested across the pipeline.


• Guide the development of data tools used to transform, manage, and access data, and advise the team on writing and validating code to test the storage and availability of data platforms for resilience.


• Oversee the implementation of performance monitoring protocols across data pipelines, coaching the team on building visualizations and aggregations to monitor pipeline health.


• Coach others on implementing solutions and self-healing processes that minimize points of failure across multiple product features.

Required Qualifications, Capabilities, And Skills

• Formal training or certification on software engineering concepts and 5+ years applied experience


• Extensive experience in managing the full lifecycle of data, from collection and storage to analysis and reporting.


• Proficiency in one or more large-scale data processing distributions such as Java/Spark along with knowledge on Data Pipeline (DPL), Data Modeling, Data warehouse, Data Migration and related areas.


• Hands-on practical experience in system design, application development, testing, and operational stability


• Proficient in coding in one or more modern programming languages


• Experience with AWS services and components and understanding of Kubernetes


• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.


• Strong understanding of domain driven design, micro-services patterns, and architecture


• Knowledge of the Software Development Life Cycle and experience with IBM MQ, Apache Kafka


• Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security


• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, LLMs, etc.)

Preferred Qualifications, Capabilities, And Skills

• Familiarity with modern front-end technologies


• Experience designing and building REST API services using Java


• Exposure to cloud technologies - knowledge on Hybrid cloud architectures is highly desirable

About Us

JPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and value diversity and inclusion. We do not discriminate on basis of protected attributes. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

About The Team

Our Consumer & Community Banking division serves Chase customers through a range of financial services. We’re proud to lead in credit card sales and deposit growth and have the most-used digital solutions, while ranking first in customer satisfaction.