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JPMorganChase

Lead Data Engineer - VP

Job Posted 17 Days Ago Posted 17 Days Ago
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Hybrid
Hyderabad, Telangana
Senior level
Hybrid
Hyderabad, Telangana
Senior level
As a Lead Data Engineer, you'll architect complex data solutions, manage data pipelines, and guide team development while ensuring system resilience.
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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 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. 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
  • 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 your 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 your 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 JavaSpark along with knowledge on Data Pipeline (DPL), Data Modeling, Data warehouse, Data Migration and so-on.
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Proficient in coding in one or more modern programming languages
  • Should have good hands-on experience on AWS services and its components along with good understanding on 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
  • Overall knowledge of the Software Development Life Cycle along with experience with IBM MQ, Apache Kafka
  • Solid 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
JPMorganChase, 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 place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. 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 our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

Top Skills

Apache Kafka
AWS
Ibm Mq
Java
Kubernetes
Spark

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