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Sr. Data Engineer strong with AWS and Python

Salary undisclosed

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Advanced in AWS they are setting up platform and infrastructure on AWS setting up tooling for data pipelines

Strong with building ETL

Setting up tooling (doesn t need to be fully from scratch but setting up at least a part of it and not just a user)

Coding Python is preferred

Experience with CI/CD Athena, Spark

Qualifications
5+ years in a Data Engineering or Data Warehousing role
2+ years coding experience (python, java, scala)
2+ years hands on experience with big data technologies (Google BigQuery, Snowflake, Redshift, or similar technologies)
Master s Degree (or a B.S. degree with relevant industry experience) in math, statistics, computer science, or equivalent technical field
Expert level understanding and experience of ETL fundamentals and building efficient data pipelines
Expert level experience of building data platforms and BI tools to maximize business insights and self service
Understanding of Kimball design (star schema) or other methodologies desired Strong communication and collaboration skills
Experience with Agile methodologies
Experience with Cloud environments implementations (Google Cloud Platform, AWS, other) Titles that candidates may have
Data Engineer
Data Warehouse Engineer / Developer / Architect
Analytics Engineer

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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