
Data Engineer - AWS
Manage data pipelines that consist of a series of data flow stages: from data sources or endpoints of acquisition to integration to consumption for specific use cases. Designing, creating and maintaining data pipelines will be a key responsibility for the Data Engineer. The Data Engineer would be responsible for working with and optimizing existing ETL processes and data integration and data preparation flows and helping to move them in production. The Data Engineer will be responsible for using innovative and modern tools and techniques to automate data preparation and integration tasks. You’ll drive automation through effective metadata management. The Data Engineer will work in close relationship with data science teams and with business data analysts in refining their data requirements for various data and analytics initiatives and their data consumption requirements. This role is a member of a global team who work with Offshore (India) Data Engineering COE.
Good knowledge on data orchestration tools like Nifi, AWS Step functions
Knowledge of cloud, distributed systems, and stream-processing systems
Understanding of CPG industry data
Experience with ETL to data warehouse systems
Experience with development using AWS cloud services: S3, EMR, Lambda, Glue, Redshift & Athena
Experience with predictive analytics tools like SAS, R and Machine Learning preferred
Hadoop
Hive
Spark
Python Scripting
PySpark
Unix scripting skills
Effective Time Management
SAP BODS
Verbal communication
written communication
Organizational skills
Attention to detail
Adaptability
Problem-Solving
Results-Driven
Multi tasker
According to JobzMall, the average salary range for a Data Engineer - AWS in 800 Commerce Dr, Oak Brook, IL 60523, USA is $90,000 to $115,000 per year. This salary range is based on the median salary of similar jobs posted on the site.
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