Job Details

Database Management Associate- Big Data

Advertiser
JPMorgan Chase & Co.
Location
Jersey City, New Jersey, United States
Rate
-
Position Overview

The role is a unique opportunity for an experienced, well-rounded, and hands-on practitioner in analytics. The team is responsible for providing analytical support for Data and Analytics teams playing a critical role in helping the D&A the most impactful opportunities for Analytics and MLAI deployment in operations. The position offers an opportunity to work on big data and apply data science skills to support the development of engineering solutions.

Responsibilities:

Provide thought leadership on Bigdata best practices, methods and tools for analytical work in the ADE platform engineering in order to identify most impactful opportunities for ADP Operations
Lead, develop, plan, and execute analytical work, individually and with the team, working with Large scale datasets and Big Data environment.

. Automation using Python, Java, or Unix shell scripting.

. Engineer solutioning for applications using Spark, Hive or Impala.

. Large scale data management and administration.

. Performance tunning and troubleshooting Cloudera Hadoop platform.

Partner and work closely with product owners and other leads to ensure feasibility and progress of the product delivered by the ADP
Work side by side with modeling lead to ensure the best ML and AI solutions are being delivered to the business
Enforce Analytics best practices
Have a clear view of metrics of success, model and implementation feasibility and impact to customer
Share latest ML AI efforts in the industry that can improves operations efficiency and lower OpEx
Lead, train and coach more junior associates in the team
Help build a team of strong, business savvy and self -driven analytical talent
Synthesize analytical findings for consumption by garage teams and senior executives
Deliver practical data insights in a compelling manner actionable by our partners
Articulate analytical findings in clear and concise deliverables, including presentations, discussions, and visualizations
Establish and manage relationships with our internal partners becoming a trusted advisor on business data and analytics techniques, with strong understanding of business drivers and underlying data
Set standards of excellence for the team by demonstrating professional expertise, strong work ethic, integrity and professional behavior

Qualifications and Required Skills:

5+ years of hands on industry experience in leveraging data science (including ML) and analytics to solve business problems
Bachelor's degree in relevant quantitative field required, advanced degree preferred .

. Advanced knowledge of application, data and infrastructure architecture disciplines.

. Understanding of architecture and design across all systems.

. Working proficiency in Linux and Distributed administration toolsets like Ansible.

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