Senior Data Engineer

Qode

8d

About The Position

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

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
• Working experience in delivering projects in Agile Methodology and hands on in Jira
• Experience in Client Facing Roles with good communication & thought leadership skills
• Master's/bachelor’s in computer science or equivalent fields

Nice To Haves

• Good understanding of Machine Learning Models and Artificial Intelligence
• Good understanding of Data Components , Data Processing & Data Analytics on AWS
• Experience with data modeling tools like Erwin

Responsibilities

• analyzing, designing, and coding ETL programs which involves Data pre-processing
• Data Extraction
• Data Ingestion
• Data Quality
• Data Normalization & Data Loading
• co-ordinate deliverables across the SDLC

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 11-50 employees