74 applicants

Company

Original Job Post

Amazon · 3 days ago

Data Engineer II

Bellevue, WA

Full-time

Onsite

Mid Level

$119K/yr - $206K/yr

3+ years exp

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Responsibilities

Design, develop, and maintain new and existing data pipelines to drive key business decisions.

Design, implement, and support a platform providing secured access to large datasets.

Recognize and adopt best practices in data integrity, test design, analysis, validation, and documentation.

Tune data pipelines and query performance using profiling tools and SQL.

Analyze and solve problems at their root, stepping back to understand the broader context.

Learn and understand a broad range of Amazon's data resources and know when, how, and which to use and which not to use.

Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS.

Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets.

Design, implement, and support an analytical data infrastructure providing ad hoc access to large datasets and computing power.

Managing AWS resources.

Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies.

Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency.

Work with external data vendors to onboard data into existing infrastructure.

Collaborate with Analysts, Business Intelligence Engineers and Data Scientists to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis, prediction, clustering and machine learning.

Help continually improve ongoing reporting and analysis processes, simplifying 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 ManipulationData ProcessingLarge DatasetsDistributed SystemsScripting LanguagesPythonJavaScalaNodeJSData AnalysisData InterpretationRedshiftOracleNoSQLAWSS3EMRKinesisFireHoseLambdaIAMTechnical LeadershipMentoringSoftware EngineeringCoding StandardsSoftware ArchitecturesCode ReviewsSource Control ManagementContinuous Deployments

Required

3+ years of data engineering experience

Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets

Knowledge of distributed systems as it pertains to data storage and computing

Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

Preferred

Master's degree

Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

Experience providing technical leadership and mentoring other engineers for best practices on data engineering

Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

5+ years of data engineering experience

Excellent written and verbal communication skills

Effective communication with senior management as well as with colleagues from operations and business backgrounds

Ability to work on a diverse team or with a diverse range of coworkers

Benefits

Equity

Sign-on payments

Medical benefits

Financial benefits

Company

Amazon

Glassdoor

3.7

Amazon is a global tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.

Founded in 1994

Seattle, Washington, USA

10,001+ employees

https://amazon.com

H1B Sponsorship

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