Global Data Architect
2 days ago
Amazon is a global e-commerce leader, and the GEIST team serves as the software solution team to all Global Engineering needs. The team works with its customers to set a consolidated Tech strategy and prioritizes investments to best serve their needs and our bottom line.
About the Job:
We are seeking an experienced Data Engineer to play a pivotal role in developing and implementing a comprehensive data platform for GES business. The successful candidate will have a proven track record of building integrated data tools and platforms to support global businesses.
Responsibilities:
Data Warehouse/Data Lake Infrastructure Design and Implementation
Design, implement, and support data warehouse/data lake infrastructure using AWS big data stack, Python, Redshift, QuickSight, Glue/Lake Formation, EMR/Spark, Athena etc.
ETL Development and Management
Develop and manage ETLs to source data from various systems and create unified data model for analytics and reporting.
Real-Time Data Pipelines
Creation and support of real-time data pipelines built on AWS technologies including EMR, Glue, Redshift/Spectrum, and Athena.
Requirements:
1+ years of data engineering experience, Experience with data modeling, warehousing, and building ETL pipelines, Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala), Experience with one or more scripting language (e.g., Python, KornShell)
Salary:
$150,000 - $200,000 per year, depending on experience.
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