Senior Java Developer With Python and Big Data experience with Banking industry and NY/NJ

Job title:- Senior Java Developer With Python and Big Data experience with Banking industry

Location: Midtown New York City 5 days a week. MUST ALREADY BE IN THE NY/NJ AREA (NO RELOCATION) AND BE ONSITE FIVE DAYS A WEEK. CANDIDATES NEED TO HAVE RECENT PROJECTS IN THE NY/NJ AREA AND A VALID ID IN NY/NJ. No H1B

Interview Required: Video

Contract

*** We need: Senior (12+ years) Java Developers with recent extensive experience working with Python and large Data sets. 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 firm's business objectives. You will apply your depth of knowledge and expertise to all aspects of the software development lifecycle. Candidates need to have recent experience working in Capital Markets, Financial services or very Large Banks. CANDIDATES MUST HAVE EXCELLENT COMMUNICATION SKILLS FOR THIS CLIENT SO PLEASE DOUBLE SCREEN FOR COMMUNICATION SKILLS AND ONLY SEND ME (9/10) OR BETTER.

**Candidates must have Long Projects/Good Tenure, Excellent communication skills and a State issued ID (Not Bills) showing they are Local.

Job Description:

****CANDIDATES NEED TO HAVE RECENT PROJECTS IN THE NEW YORK/NEW JERSEY AREA.

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

As a Data Engineer/ DEVELOPER at 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 firm's 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

Full stack development with Angular and Java or python

Advanced at SQL (e.g., joins and aggregations)

Working understanding of NoSQL database platforms and writing efficient SQL's

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

*** Candidate Must Have's on a resume and for submittal:

1. How many years working with: Java Developer

2. How many years working with: Python

3. How many years working with: Large Data sets

4. How many years working with: Banking or Capital Markets

5. How many years working with: Solid experience in Big Data technologies; (Spark, Impala, Hive, Redshift, Kafka, etc.)

*** 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 Day's notice

Availability to Start:

Email Address:

Phone Number:

Visa Status:

Education - College/Year of graduation:

Link to LinkedIn?

Certifications (Please list)?