Data Engineer Trainee developing expertise in Python, SQL, and modern cloud technologies. Innovating in a dynamic team environment with a focus on practical application.
About the role
- Senior Data Engineer responsible for data engineering tasks, utilizing various technologies and frameworks. Leading project delivery in data analysis and engineering domains.
Responsibilities
- Comments: Only GC and USC, H4 EAD and L2 EAD and H1B Transfer
- Preferred Location: Cleveland or Pittsburgh.
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.
- 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
Job title
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