Amazon · 5 days ago
Data Engineer
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Responsibilities
Contribute to the architecture, design and implementation of next generation BI solutions.
Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda etc.
Collaborate with data scientists, and business intelligence engineers to deliver high quality data architecture and pipelines.
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources.
Make large and/or complex data more accessible, understandable and usable by implementing advanced BI dashboards and applications.
Own the design, development, and maintenance of metrics, reports, analyses, dashboards, etc. to drive key business decisions
Provide clear communication for recommended actions
Qualification
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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
Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
Benefits
Medical benefits
Financial benefits
Company
Amazon
Amazon is a global tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (14000)
2022 (23375)
2021 (15334)
2020 (14558)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
Kleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO· nasdaq:AMZN
Recent News
2024-06-06
2024-06-06
The News Tribune
2024-06-05
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