Data Engineer (Financial Crimes, AML and Commercial Payments exp) - Onsite

Overview

On Site
Depends on Experience
Contract - W2

Skills

AML
Algorithms
Analytics
Data Acquisition
Data Management
Data Mapping
Finance
Data Structure
Apache Hadoop
Collaboration
IBM InfoSphere DataStage
Data Mining
Data Modeling
Datastage
Disaster Recovery
Extract
Transform
Load
J2EE
Java
Management
MongoDB
MySQL
Snow Flake Schema
NoSQL
Testing
Payments
Prototyping
Relational Databases
Research
SQL
Software Engineering

Job Details

Title: Data Engineer

Location: Madisonville Office Building, 5001 Kingsley Drive, Cincinnati, OH 45227

Duration: 6+ months

JOB DESCRIPTION

MUST: be willing to be onsite at the Madisonville Office Building 5 days a week. Collaborative, proactive, strategic data engineer - data movement/ETL.

Role will be working in Financial Crimes AML and upstream Commercial Payments LOB as part of modernization efforts.

Day to day will be using Datastage, Snowflake, DBT, data mapping, ETL/data movement, testing and documenting.

Will be integrated with upstream teams impacting AML data sources so need the ability to build relationships, define requirements and communicate with various teams.

Job Summary:

Handle the design and construction of scalable management systems, ensure that all data systems meet company requirements, and also research new uses for data acquisition. Required to know and understand the ins and outs of the industry such as data mining practices, algorithms, and how data can be used. Primary Responsibilities:

  • Design, construct, install, test and maintain data management systems.
  • Build high-performance algorithms, predictive models, and prototypes.
  • Ensure that all systems meet the business/company requirements as well as industry practices.
  • Integrate up-and-coming data management and software engineering technologies into existing data structures.
  • Develop set processes for data mining, data modeling, and data production.
  • Create custom software components and analytics applications.
  • Research new uses for existing data.
  • Employ an array of technological languages and tools to connect systems together.
  • Collaborate with members of your team (eg, data architects, the IT team, data scientists) on the project s goals.
  • Install/update disaster recovery procedures. Recommend different ways to constantly improve data reliability and quality.

Qualifications:

  • Technical Degree or related work experience
  • Experience with non-relational & relational databases (SQL, MySQL, NoSQL, Hadoop, MongoDB, etc.)
  • Experience programming and/or architecting a back end language (Java, J2EE, etc)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Javen Technologies, Inc