Data Engineer

Overview

On Site
$100,000 - $120,000
Full Time

Skills

Amazon Web Services
Data Engineering
Data Processing
Data Loading
Data Quality
Apache Hadoop

Job Details

Position Title: Senior Data Engineer
Number of Roles: 7
Priority High
Location: Cleveland, OH (1st Preference) or Pittsburgh, PA (2nd Preference) or Dallas, TX (3rd Preference) - (3 Days Office) open to relocate, will work too

Job Duties :
8-10 Years experience working in Data Engineering and Data Analysis.
Hands on Experience in Hadoop Stack of Technologies ( Hadoop ,PySpark, HBase, Hive , Pig , Sqoop, Scala ,Flume, HDFS , Map Reduce).
Hands on experience with Python & Kafka .
Good understanding of Database concepts , Data Design , Data Modeling and ETL.
Hands on in analyzing, designing, and coding ETL programs which involves Data pre-processing , Data Extraction , Data Ingestion , Data Quality ,Data Normalization & Data Loading.
Working experience in delivering projects in Agile Methodology and hands on in Jira.
Experience in Client Facing Roles with good communication & thought leadership skills to co-ordinate deliverables across the SDLC .
Good understanding of Machine Learning Models and Artificial Intelligence preferred.
Good understanding of Data Components , Data Processing & Data Analytics on AWS is good to have .
Experience with data modeling tools like Erwin is good to have.
Preferred Location : Cleveland or Pittsburgh.
Master's/bachelor s in computer science or equivalent fields

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