Front end UI Developer - Analyst

Job Description

You are a strategic thinker passionate about driving solutions and innovation mindset. You have found the right team.

As a Data Engineer in our STO team, you will be a strategic thinker passionate about promoting solutions using data. You will mine, interpret, and clean our data, asking questions, connecting the dots, and uncovering hidden opportunities for realizing the data’s full potential. As part of a team of specialists, you will “slice and dice” data using various methods and create new visions for the future. Our STO team is focused on collaborating and partnering with business to deliver efficiency and enhance controls via technology adoption and infrastructure support for Global Finance & Business Management India.

Job Responsibilities

• Write efficient Python and SQL code to extract, transform, and load (ETL) data from various sources into Databricks.
• Perform data analysis and computation to derive actionable insights from the data.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Ensure data quality, integrity, and security across all data processes.
• Develop Optimized solutions for performance and scalability.
• Monitor and troubleshoot data workflows to ensure reliability and efficiency.
• Document data engineering processes, methodologies, and workflows.
• Communicating analytical findings to senior leaders through data visualization and storytelling
  
  

Required Qualifications, Capabilities And Skills

• Minimum 3+ years of hands-on experience in Developing, implementing and maintaining python automation solutions including the use of LLM.
• Develop, implement, and maintain new and existing solutions
• Write efficient Python and SQL code to extract, transform, and load (ETL) data from various sources .
• Ability to use LLM to build AI solutions.
• Perform data analysis and computation to derive actionable insights from the data.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Ensure data quality, integrity, and security across all data processes.
• Monitor and troubleshoot data workflows to ensure reliability and efficiency.
• Document data engineering processes, methodologies, and workflows.
  
  

Preferred Qualifications, Capabilities And Skills

• Hand-on experience in Python desktop solution development
• Knowledge of machine learning and data science concepts will be plus
• Experience with data visualization tool Tableau will be plus
  
  

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 professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.