
Senior Data Engineer
qode.world
full-time
Posted on:
Location Type: Hybrid
Location: Ohio • Ohio • Pennsylvania • United States
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Job Level
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data EngineeringData AnalysisHadoopPySparkHBaseHivePigSqoopScalaETL
Soft Skills
communicationthought leadershipclient facingcoordination
Certifications
Master's in computer scienceBachelor's in computer science