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City: Washington State: WA Career Level: 2 Category: 15-1000 Occupation: 15
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Skills: Must Have:
AWS Data Engineering
Experience with Glue, AWS CloudFormation Template, Redshift Cluster and Lambda
Data warehouses(ETL/Informatica), Data Lake, and Enterprise Big Data Platforms.
Python Scripting
BI Tools – Tableau/PowerBI
Advanced SQL Queries
Experience with APIs Education: 3 Requirement: Role:AWS Data Engineer Description: Should have exposure in AWS Environment.
Data Engineer will be pulling the data from cloud and putting it to into Datalake and Datawarehouse
Experience with Glue, AWS CloudFormation Template, Redshift Cluster and Lambda
Also Ingesting and Pulling data from different data sources and putting it to datalake
Experience with Python Scripting
Experience with BI Tools – Tableau/PowerBI etc..
Experience with Advanced SQL Queries.
APIs experience is needed here.
No experience with Spark or Pyspark is not needed here.
Ingesting and Pulling data from different data sources and putting it to datalake
Experience with data warehouse, data lake, and enterprise big data platforms.
Should have at least 3-7 years of related work experience.
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