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Data Engineer - Alexa Data Services

Data Engineer - Alexa Data Services

Job ID 
Posted Date 
Company Services, Inc.
Position Category 
Business Intelligence
Recruiting Team 

Job Description

Amazon strives to be the world’s most customer centric company with lot of high end innovation and product development including the best-selling Kindle family of products. We have also produced groundbreaking devices like Fire tablets, Fire TV, and Amazon Echo. We provide customers a fully integrated service with instant access to over 27 million movies, TV shows, magazines, newspapers, books, songs, apps, and games.

The ADS team is part of Amazon’s speech platform organization that provides speech recognition capabilities for a variety of Amazon products and searches, most visibly, the Amazon Echo product.

Data Engineer is a newly created role to build world class data platform and deploy scalable business intelligence tools for ADS teams. The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, above all else, is passionate about data and analytics. He/she is an expert with data modeling, ETL design and business intelligence tools and passionately partners with the business to identify strategic opportunities where improvements in data infrastructure creates outsized business impact. He/she is a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoys working in a fast-paced team. The ideal candidate need to possess exceptional technical expertise in large scale data warehouse and BI systems with hands-on knowledge on SQL, Distributed/MPP data storage, Hadoop and AWS services.

Core Responsibilities

  • Design, implement, and support a platform providing ad hoc access to large datasets
  • Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL
  • Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL, Oracle, Redshift, and OLAP technologies
  • Model data and metadata for ad hoc and pre-built reporting
  • Interface with business customers, gathering requirements and delivering complete reporting solutions
  • Build robust and scalable data integration (ETL) pipelines using SQL, Python and Spark.
  • Build and deliver high quality datasets to support business analyst and customer reporting needs.
  • Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
  • Participate in strategic & tactical planning discussions, including annual budget processes

Basic Qualifications

  • Bachelor's degree or higher in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering).
  • 5+ years of relevant experience one of the following areas: Data engineering, business intelligence or business analytics.
  • 5+ years of hands-on experience in writing complex, highly-optimized SQL queries across large datasets.
  • Demonstrated ability in data modeling, ETL development, and Data warehousing.
  • Data Warehousing Experience with Oracle, Redshift, Teradata, etc.
  • Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.)
  • Experience in working and delivering end-to-end projects independently

Preferred Qualifications

  • 5+ years of experience as a Data Engineer, BI Engineer, Business/Financial Analyst or Systems Analyst in a company with large, complex data sources.
  • Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
  • Experience with AWS services including S3, Redshift, EMR and RDS.
  • Experience with scripting tools like Python is a strong plus.
  • Experience using Linux/UNIX to process large data sets.

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