Data Engineer III
Intelliswift Software Inc
Atlanta, GA
JOB DETAILS
SALARY
$65–$70 Per Hour
LOCATION
Atlanta, GA
POSTED
12 days ago
Pay rate- $65/hr - $70/hr.
Fully Onsite
Job Description:
Must Have:
Understanding of operational data from the AWS fleet, and build mechanisms for retrieving and aggregating such data for use by downstream business intelligence solutions.
Optimize the performance of data queries, and address extract, transform, load (ETL) procedures.
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Nice to have:
1. Experience with data modeling, warehousing and building ETL pipelines
2. Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
3. Performing deep-dives to find root causes of potential data anomalies and taking subsequent action to address these anomalies.
Requirements:
3-5 years’ experience
Bachelor’s degree in computer science or equivalent
Somebody who has worked as data engineer for large data sets preferably from technology industry background
Leadership Principles:
Dive Deep
Customer obsession
Fully Onsite
Job Description:
Must Have:
Understanding of operational data from the AWS fleet, and build mechanisms for retrieving and aggregating such data for use by downstream business intelligence solutions.
Optimize the performance of data queries, and address extract, transform, load (ETL) procedures.
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Nice to have:
1. Experience with data modeling, warehousing and building ETL pipelines
2. Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
3. Performing deep-dives to find root causes of potential data anomalies and taking subsequent action to address these anomalies.
Requirements:
3-5 years’ experience
Bachelor’s degree in computer science or equivalent
Somebody who has worked as data engineer for large data sets preferably from technology industry background
Leadership Principles:
Dive Deep
Customer obsession
About the Company
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