Senior Data Engineer

Qode View all jobs
Cleveland, United States of America
8 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Cleveland, United States of America

Tech stack

Agile Methodologies
Amazon Web Services (AWS)
Data analysis
JIRA
Data Architecture
Information Engineering
ETL
Data Mining
Data Normalization
Database Theory
Hadoop
Hadoop Distributed File System
MapReduce
HBase
Hive
Python
Scala
Sqoop
Data Processing
Data Ingestion
PySpark
Apache Flume
Information Technology
Data Analytics
Kafka

Requirements

· 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. · 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

About the company

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