• Data Engineer

    Location US-WA-Seattle
    Posted Date 2 weeks ago(2 weeks ago)
    Job ID
  • Job Description

    The AWS Capacity Forecasting and Planning team engages with all AWS service teams to build the world's largest Cloud infrastructure. Come make history!
    Our team forecasts demand and recommends hardware ordering for the largest AWS service teams. As part of infrastructure and planning, we forecast customer demand, build inventory replenishment systems, and drive utilization improvement for all AWS services. You will work directly with senior research scientists, a large software development team, and owners of all major AWS services. This role requires an individual with excellent analytical abilities, deep knowledge of data engineering principles and business intelligence, as well as a passion for problem-solving. Ideally, you are comfortable with ambiguity and accessing and working with data from multiple sources. You will organize large amounts of data, discover and solve real world problems, and expand our overall metrics infrastructure.
    As an Amazon Data Engineer, you will be working in one of the world's largest data warehouse environments. This environment processes billions of time series events each week to build and test statistical models used to generate forecasts for all AWS services. These models and forecasts will be used in Business Intelligence reporting and dashboarding solutions that are consumed by thousands of users worldwide to optimize service availability and infrastructure costs. These data solutions support the growth of the world’s largest Cloud, solving challenging problems on a daily basis.
    You should have deep expertise in the design, creation, management, and business use of large datasets. An ideal candidate will have excellent communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions. You should be able to demonstrate an expertise in designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data warehouse and into end-user facing applications. You should be able to work with business customers in a fast paced environment understanding the business requirements and implementing reporting solutions.
    You will learn how to incorporate tested research results into modern software systems that improve the way AWS operates. You will also gain an understanding of Supply Chain Management for the Cloud and obtain an deep understanding of the internal workings of all AWS services. Your role will leverage AWS technologies such as Lambda, Glue, and Kinesis to craft ETL solutions.

    Above all, you should bring your passion for working with huge data sets and bringing datasets together to answer business questions and drive change
    Key Responsibilities

    - Work with managers, software developers, and scientists to design and develop data infrastructure to support the growth of AWS.
    - Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into digestible and actionable forms.
    - Perform deep-dives to find root causes of variances of key forecasting parameters over a given time period.
    - Develop intelligent, insightful self-reporting tools.
    - Optimizing the performance of business-critical queries and dealing with ETL job related issues
    - Tuning application and query performance using Unix profiling tools and SQL
    - Identifying the data quality issues across the various platforms at Amazon

    Basic Qualifications

    · Bachelor's degree or higher in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering)
    · 3+ years of relevant experience in one of the following areas: Data engineering, database engineering, business intelligence or business analytics

    Preferred Qualifications

    · 3+ years of hands-on experience in writing complex, highly-optimized SQL queries across large data sets
    · 2+ years of experience in scripting languages like Python, Unix, etc.
    · Demonstrated strength in data modeling, ETL development, and Data warehousing. Data Warehousing
    · Experience with Redshift, Oracle, etc.
    · Experience with AWS services including S3, Redshift, EMR and RDS
    · Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.)
    · Masters in computer science, mathematics, statistics, economics, or other quantitative field
    - Good understanding of the cloud industry.

    Database, SQL, Data, Data Engineer, Forecasting, Statistics, Machine Learning, Optimization, Inventory Management, Supply Chain Management, AWS, Cloud, Cloud Computing, EC2, S3, EBS, DynamoDB, CloudFront, Java, C++, object oriented, Java, distributed systems, high availability, scalability, concurrent

    Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
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