Lead Data Engineer- BIData Visualization

Jersey, NJ - USA

Monthly Salary: $ 142500 - 185000

Posted on: 05-11-2025

Vacancies: 1 Vacancy

Job Summary

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 Business Intelligence Engineer at JPMorgan Chase within the Commercial & Investment Bank - Payments Technology team you will play a key role in designing developing and maintaining business intelligence solutions that drive data-driven decision-making. You will apply your data engineering expertise and great eye for design to build state of the art analytics data visualization and reporting solutions.

Job responsibilities

Design develop and maintain business intelligence dashboards reports and visualizations using tools like ThoughtSpot Tableau Sigma Computing Power BI or Qlik
Innovate new ways to present data and insights through compelling visualizations by exploring and experimenting with Payments Data
Design and implement data models and ETL processes to support BI solutions
Collaborate with stakeholders to gather and analyze business requirements for reporting and analytics
Optimize and enhance existing BI solutions for performance and scalability
Ensure data accuracy and integrity through validation and quality checks
Conduct data analysis to identify trends patterns and insights
Integrate and normalize data from multiple sources to create a unified view for reporting
Provide technical guidance and mentorship to junior data engineers and BI engineers
Stay updated with industry trends and best practices in business intelligence data visualization and design thinking
Support ad-hoc reporting and data requests from business users and document BI processes workflows and technical specifications

Required qualifications capabilities and skills (11 bullets)

Formal training or certification on data engineering concepts and 5 years applied experience
Proven experience in business intelligence development and data visualization
Proficiency in BI tools such as ThoughtSpot Tableau Sigma Computing Power BI or Qlik
Advanced hands on SQL skills for data querying and manipulation
Hands on experience with UI and UX design principles
Experience with design thinking and Agile development methodologies
Experience with data modeling and ETL processes
Knowledge of data warehousing concepts and architectures
Hands on experience with data validation and quality assurance processes

Preferred qualifications capabilities and skills (4 bullet)

Fluency in Python or Pyspark for data exploration data visualization and building ETL pipelines
Experience building pipelines in Databricks or similar platforms
Formal training in UI and UX design principles
Experience with data science and machine learning concepts

DescriptionJoin 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 Business Intelligence Engineer at JPMorgan Chase within the Commercial...

Description

Job responsibilities

Design develop and maintain business intelligence dashboards reports and visualizations using tools like ThoughtSpot Tableau Sigma Computing Power BI or Qlik
Innovate new ways to present data and insights through compelling visualizations by exploring and experimenting with Payments Data
Design and implement data models and ETL processes to support BI solutions
Collaborate with stakeholders to gather and analyze business requirements for reporting and analytics
Optimize and enhance existing BI solutions for performance and scalability
Ensure data accuracy and integrity through validation and quality checks
Conduct data analysis to identify trends patterns and insights
Integrate and normalize data from multiple sources to create a unified view for reporting
Provide technical guidance and mentorship to junior data engineers and BI engineers
Stay updated with industry trends and best practices in business intelligence data visualization and design thinking
Support ad-hoc reporting and data requests from business users and document BI processes workflows and technical specifications

Required qualifications capabilities and skills (11 bullets)

Formal training or certification on data engineering concepts and 5 years applied experience
Proven experience in business intelligence development and data visualization
Proficiency in BI tools such as ThoughtSpot Tableau Sigma Computing Power BI or Qlik
Advanced hands on SQL skills for data querying and manipulation
Hands on experience with UI and UX design principles
Experience with design thinking and Agile development methodologies
Experience with data modeling and ETL processes
Knowledge of data warehousing concepts and architectures
Hands on experience with data validation and quality assurance processes

Preferred qualifications capabilities and skills (4 bullet)

Fluency in Python or Pyspark for data exploration data visualization and building ETL pipelines
Experience building pipelines in Databricks or similar platforms
Formal training in UI and UX design principles
Experience with data science and machine learning concepts

Key Skills

Apache Hive
S3
Hadoop
Redshift
Spark
AWS
Apache Pig
NoSQL
Big Data
Data Warehouse
Kafka
Scala

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About Company

JPMorganChase

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 ov ... View more

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