Lead Data Engineer- BI/Data Visualization

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

• 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