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Position :: Hadoop Data Engineer

Location :: Cleveland, OH and Pittsburgh, PA

Role :: Permanent Full Time

• 8+ Years experience working in Data Engineering and Data Analysis .
• Hands on Experience in Hadoop Stack of Technologies ( Hadoop ,Spark, 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