Data Engineer - W2 Only

Overview

On Site
$60+
Contract - W2
Contract - Independent
100% Travel

Skills

Amazon S3
Amazon Web Services
Data Science
Database
ER/Studio
Electronic Health Record (EHR)
Cloud Computing
Python
RDBMS
Relational Databases
SQL
Graph Databases
Korn Shell
Microsoft Power BI
Modeling
NoSQL
PL/SQL
Computer Science
DDL
Data Modeling
Data Profiling
ERwin
Finance
Scala
Scripting
Snow Flake Schema
Statistics
Storage
Tableau
Teradata
Warehouse
Data Enngineer
AWS

Job Details

Role Name: Data Engineer
Locations: Plano, TX

Interview Type: Initial interview on zoom and In-Person at JPMC location

Must Have:
5+ years of experience with data modeling, warehousing, analysis & data profiling experience and ability to identify trends and anomalies in the data
Experience on AWS technologies like S3, AWS Glue, EMR, and IAM roles/permissions
Experience with one or more query language (e.g., SQL, PL/SQL, DDL, SparkSQL, Scala)
Experience working with relational database such as Teradata and handling both structured and unstructured datasets
Data Modeling tools (Any of - Erwin, Power Designer, ER Studio)

Preferred / Ideal to have
Proficiency in SQL, Python
Experience with NoSQL, non-relational databases / data stores (e.g., object storage, document or key-value stores, graph databases, column-family databases)
Experience with Snowflake and Databricks

Good to have:
Proficiency in tools such as SQL, Python, Tableau or Power BI
Understanding of financial industry metrics and business processes
AWS Cloud Practitioner or Developer certifications

Experience:
Bachelor s or Master s degree (or equivalent work experience) in Data Science, Statistics, Computer Science, or Mathematics
Experience with one or more scripting languages (e.g., Python, KornShell)

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.

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