Data Engineer @ Amazon Web Services (AWS) | Jobright.ai
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Amazon Web Services (AWS) · 6 days ago

Data Engineer

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Responsibilities

Design, implement, and support a platform providing ad-hoc access to large datasets
Interface with other technology teams to extract, transform, and load data using SQL
Build robust and scalable data integration pipelines using SQL, Python, and AWS services
Implement data structures using best practices in data modeling, ETL processes, and SQL/Redshift
Gather requirements from business customers and deliver reporting solutions
Deliver high-quality datasets to support business analysts and customer reporting needs
Improve reporting and analysis processes, automating self-service support for customers

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data EngineeringData ModelingETL PipelinesSQLPL/SQLDDLMDXHiveQLSparkSQLScalaPythonKornShellBig Data TechnologiesHadoopHiveSparkEMR

Required

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)

Preferred

Experience with big data technologies such as: Hadoop, Hive, Spark, EMR

Benefits

Medical benefits
Financial benefits

Company

Amazon Web Services (AWS)

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Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing.

Funding

Current Stage
Late Stage

Leadership Team

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Anand Desikan
CTO, CXO Advisor, and Enterprise Technologist
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Rajesh Jindal
Finance Director and CFO - AWS EMEA Commercial Sales
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Company data provided by crunchbase
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