3 Data EngineerSQLPython OR JavaBanking or FIS - JMPC

PLEASE MAKE SURE THE ADDRESS ON THE CANDIDATES ADDRESS IS WITHIN A ONE HOUR COMMUTE TO PLANO TX BEFORE SENDING TO ME. PLEASE ALSO MAKE SURE THATCANDIDATES HAVE EXCELLENT COMMUNICATION SKILLS AS THEY WILL BE INTERACTING WITH THE BUSINESS.

*** We need: Three Senior (10 years) Data Engineers with extensive experience working with SQL/NoSQL Big Data/Spark as well as Java or Python. CANDIDATES MUST HAVE RECENT EXPERIENCE IN BANKING OR FINANCIAL SERVICES/CAPITAL MARKETS. CANDIDATES MUST BE WITHIN A ONE HOUR COMMUTE TO PLANO TX AND GO INTO THE OFFICE 5 DAYS A WEEK. THERE WILL BE A FINAL ONSITE INTERVIEW. NO RELOCATION AND NO H1 CONSIDERED. **Candidates must have Long Projects/Good Tenure Excellent communication skills and a State issued ID (Not Bills) showing they are Local.

Required Location: ONSITE PLANO TX FIVE DAYS A WEEK NO RELOCATION NO H1

Contract status: CC preferred

Interview Required: Video & Onsite final

Candidate Visas Accepted: No Opt/Cpt No H1

Candidates must be LOCAL to the ONSITE PLANO TX FIVE DAYS A WEEK NO RELOCATION. NO RELOCATION CONSIDERED

*** Please make sure that each submittal includes:

1. Drivers license or State ID

2. Link to the candidates LinkedIn account.

3. Below submittal Format

*** Candidate Must Haves on a resume and for submittal:

1. How many years working with: Data Engineer

2. How many years working with: SQL/NoSQL

3. How many years working with: Big Data

4. How many years working with: Python or Java

5. How many years working with: Banking or FIS

*** Please provide all the below Submittal Format details with each submittal. It is required for the client Management system.

Full Name:

Rate:

Location:

Availability to Interview: One Days notice

Availability to Start:

Email Address:

Phone Number:

Visa Status:

Education College/Year of graduation:

Link to LinkedIn

Certifications (Please list)

Job Description:

Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.

As a Data Engineer III at JPMorgan Chase within the Commercial & Investment Bank Data Platforms team you serve as a seasoned member of an agile team to design and deliver trusted data collection storage access and analytics solutions in a secure stable and scalable way. You are responsible for developing testing and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firms business objectives. You will apply your depth of knowledge and expertise to all aspects of the software development lifecycle as well as partner continuously with your many stakeholders on a daily basis to stay focused on common goals. We embrace a culture of experimentation and constantly strive for improvement and learning.

Job Responsibilities

• Supports review of controls to ensure sufficient protection of enterprise data
• Advises and makes custom configuration changes in one to two tools to generate a product at the business or customer request
• Updates logical or physical data models based on new use cases
• Innovate new ways of managing transforming and validating data
• Apply quality assurance best practices to all work products
• Frequently uses SQL and understands NoSQL databases and their niche in the marketplace
• Adds to team culture of diversity equity inclusion and respect

Required Qualifications Capabilities And Skills

• Formal training or certification on data engineering disciplines and 3 years applied experience
• Experience across the data lifecycle
• Advanced at SQL (e.g. joins and aggregations)
• Working understanding of NoSQL database platforms and writing efficient SQLs
• Knowledge of application data and infrastructure architecture disciplines
• Solid experience in Big Data technologies; (Spark Impala Hive Redshift Kafka etc.)
• Skilled in Java and Python development MUST
• Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
• Experience customizing changes in a tool to generate product
• Strong analytical skills with the ability to collect organize analyze and disseminate significant amounts of information with attention to detail and accuracy

Preferred Qualifications Capabilities And Skills

• Experience with data analytics/data management processes on AWS
• Financial Services and Commercial and Investment Banking experience
• Familiarity with DynamoDB and/or Cassandra