Senior Data Engineer

AI overview

Drive data engineering solutions by utilizing technologies such as Hadoop and Python, delivering projects in an Agile environment while ensuring data quality and analysis.
Position Title:                            Senior Data Engineer

Comments:                                Only GC and USC, H4 EAD and L2 EAD and H1B Transfer
 
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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