Lead Data Engineer

Posted Yesterday
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Hyderabad, Telangana
Hybrid
Senior level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
As a Lead Data Engineer, you will design data models, develop MLOps pipelines, collaborate with teams, and ensure optimum data quality and model performance.
Summary Generated by Built In
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 Consumer & Community Banking, you play a crucial role in an agile team dedicated to improving, developing, and providing data collection, storage, access, and analytics solutions that are secure, stable, and scalable.
Job responsibilities
  • Design and implement 'data models' to support business requirements and analytics.
  • Develop and maintain MLOps pipelines for automating the deployment and monitoring of machine learning models.
  • Collaborate with data architects, data scientists, data engineers, and product owner to understand data needs and translate them into data models.
  • Ensure data models and machine learning models are optimized for performance and scalability.
  • Conduct data analysis and profiling to understand data quality and integrity.
  • Develop and maintain CI/CD pipelines for machine learning projects.
  • Document data models, metadata, and machine learning processes for reference and compliance purposes.

Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Hands on experience in Data Modeling and MLOps
  • Strong idea on Data warehousing, Data lakes and their Architecture patterns
  • Proficiency in data modeling tools such as ER/Studio, ERwin, or similar.
  • Experience in deploying and managing machine learning models in production.
  • Proficiency in programming languages such as Python, R, or Java.
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
  • Strong understanding of DevOps practices and tools.
  • Excellent analytical, problem-solving, and communication skills.

Top Skills

AWS
Azure
Er/Studio
Erwin
GCP
Java
Python
PyTorch
R
Scikit-Learn
TensorFlow

What the Team is Saying

Nick S.
Lupe C.
Edwin T.
Dawn T.
Meng M.
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The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.

Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.

Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.

©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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