200+ applicants

This job has closed.

Company

Original Job Post

Amazon · 1 week ago

Data Engineer

Seattle, WA

Full-time

Onsite

Mid Level

$91K/yr - $185K/yr

1+ years exp

Wonder how qualified you are to the job?

CrowdsourcingDelivery

H1B Sponsorship

Actively Hiring

Insider Connection @Amazon

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Design and develop the pipelines required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Python and AWS big data technologies.

Oversee and continually improve production operations, including optimizing data delivery, re-designing infrastructure for greater scalability, code deployments, bug fixes and overall release management and coordination.

Establish and maintain best practices for the design, development and support of data integration solutions, including documentation.

Work closely with Product teams, Data Scientists, Software developers and Business Intelligence Engineer to explore new data sources and deliver the data.

Able to read, write, and debug data processing and orchestration code written Python/Scala etc following best coding standards (e.g. version controlled, code reviewed, etc.)

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/SQLDDLMDXHiveQLSparkSQLScalaPythonKornShellOptimizing SQL QueriesBig Data TechnologiesETL ToolAWS TechnologiesNon-Relational Databases

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)

Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets

Preferred

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

Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

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

Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

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

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)