Data Engineer, Decision Intelligence Technology

Amazon Web Services (AWS) provides cloud platforms and applied AI solutions that help businesses manage operations and customer experiences. The Data Engineer will develop scalable data architecture, improve data quality and availability, collaborate on advanced analytics and machine learning, and support reporting and analysis for AWS Support.

Responsibilities

Develop and improve the current data architecture, data quality, monitoring and data availability

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

Partner with BAs across teams to build and verify hypothesis to improve the AWS Support business

Help continually improve ongoing reporting and analysis processes, simplifying self-service support for customers

Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data sets of customer experience on AWS

Preferred

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

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

Big Data Technologies

Hadoop

Hive

Spark

EMR

ETL Tools

Informatica

ODI

SSIS

BODI

Datastage

Benefits

Sign-on payments

Restricted stock units (RSUs)

Health insurance, including medical, dental, vision, prescription, Basic Life & AD&D insurance, and an option for Supplemental life plans

Employee Assistance Program (EAP)

Mental Health Support

Medical Advice Line

Flexible Spending Accounts

Adoption and Surrogacy Reimbursement coverage

401(k) matching

Paid time off

Parental leave

Flexible work hours and arrangements

Employee-led affinity groups

Ongoing events and learning experiences

Knowledge-sharing, mentorship and other career-advancing resources

Company

Online retail and cloud computing services

Seattle, Washington, USA

https://amazon.com/

Founded in 1994

10001+ employees

Qualifications

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)

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

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

Required skills

Data Engineering, Data Modeling, Data Warehousing, ETL Pipelines, SQL, Python, Big Data Technologies, Hadoop, Hive, Apache Spark, Amazon EMR, ETL Tools

Experience

1+ years