Data Engineer

Data Engineer – JP Morgan Chase Bank / Virtusa .job-posting-container {font-family: Arial, sans-serif; line-height: 1.6; color: #333; margin: 0; padding: 20px; background-color: #ffffff; box-sizing: border-box;} .job-posting-container * {box-sizing: border-box;} .job-posting-content {background-color: #ffffff; padding: 30px; max-width: 800px; margin: 0 auto; box-shadow: 0 0 10px rgba(0,0,0,0.1); border-radius: 10px;} .job-posting-container h1, .job-posting-container h2 {color: #004080; margin: 15px 0;} .job-posting-container h1 {font-size: 22px;} .job-posting-container h2 {font-size: 20px; border-bottom: 1px solid #ccc; padding-bottom: 5px; margin-top: 30px;} .job-posting-container ul {margin-left: 20px;} .job-posting-container .section {margin-bottom: 25px;} .job-posting-container .highlight {background-color: #eef6ff; padding: 15px; border-left: 4px solid #004080; margin-bottom: 15px; border-radius: 5px;} .job-posting-container strong {color: #333;} .job-posting-container li {margin-bottom: 8px;} Data Engineer Location: New York, New York (Onsite) | Employment Type: CTC, W2 | Experience Required: 10 years | Rate: $63/hr on C2C About the Opportunity This position is with JP Morgan Chase Bank / Virtusa, a leading financial services organization seeking an experienced Data Engineer to join their team in New York. The role focuses on leveraging advanced analytics and machine learning capabilities to solve complex business challenges. Why Join Us? Work with cutting-edge Azure ML Services and Python technologies in a dynamic financial environment Opportunity to become a subject matter expert in statistical modeling and machine learning disciplines Collaborate with key project stakeholders and exercise influence through data-driven insights Contribute to full modeling lifecycle from objective definition to actionable recommendations Key Responsibilities Apply critical thinking skills and perform advanced analytics to solve complex and multifaceted business problems Generate deep insights through data analysis and business process understanding, transforming findings into actionable recommendations Contribute to the full modeling lifecycle including defining objectives, selecting methodologies, and performing advanced quantitative analysis of large datasets Communicate analytical findings effectively and exercise influence among key project stakeholders Develop expertise as a trusted advisor in statistical, optimization, and machine learning modeling disciplines Qualifications 10 years of experience in data engineering and analytics Advanced degree in Statistics, Data Science, Engineering, Computer Science, Operational Research, Mathematics, or equivalent field Proficiency in Data Analysis, Python, and Azure ML Services Outstanding oral and written communication skills for presenting analytical findings Ph.D. is a plus Ready to Apply? Take advantage of this opportunity to work with industry-leading financial services technology at JP Morgan Chase Bank / Virtusa. We're looking for a data engineering professional who can drive meaningful business impact through advanced analytics and machine learning solutions. Contact: venkatesh.m@dprsolutionsinc.com Phone: 5202825053 Take the next step in your career!