Qode

Senior Data Engineer

Cleveland, OH Pittsburgh, PA
Hadoop PySpark HBase Hive Pig Sqoop Scala Flume HDFS MapReduce Python Kafka SQL ETL Jira AWS Erwin
Description

Senior Data Engineer

Location: Ohio, Ohio, United States, Pennsylvania, Pennsylvania, United States, Texas, Texas, United States

Workplace: hybrid

Employment Type: full

Description

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

Qode
Qode

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