Senior Data Engineer

Qode • Arlington, TX

20h

About The Position

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.· 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

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
• Working experience in delivering projects in Agile Methodology and hands on in Jira
• Master's/bachelor’s in computer science or equivalent fields

Nice To Haves

• 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

Responsibilities

• analyzing, designing, and coding ETL programs which involves Data pre-processing , Data Extraction , Data Ingestion , Data Quality ,Data Normalization & Data Loading

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level