Data Engineer

Amazon
Amazon

Job Overview

DESCRIPTION

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

Data Engineer will build a 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 create 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 needs 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.

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

· 1+ years of experience as a Data Engineer or in a similar role
· Experience with data modeling, data warehousing, and building ETL pipelines
· Experience in SQL
· Bachelor’s degree in a quantitative/technical field such as Computer Science, Statistics, Engineering
· 1+ years of relevant experience in one of the following areas: Data engineering, business intelligence or business analytics
· 1+ years of hands-on experience in writing SQL queries across datasets
· 1+ years of experience in scripting languages like Python, Perl etc.
· Experience in data modeling, ETL development, and Data warehousing
· Data Warehousing Experience with Oracle, Redshift, etc.
· Experience with AWS services including S3, Redshift, EMR and RDS
· Experience with Big Data Technologies such as Hadoop, Hive, Hbase, Pig, Spark, etc.
· Experience in working and delivering end-to-end projects independently

PREFERRED QUALIFICATIONS

· Bachelor or higher degree in a quantitative/technical field such as
· Computer Science, Statistics, Engineering
· 3+ 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 software coding practices
· Experience using Linux/UNIX to process large data sets

Amazon is committed to a diverse and inclusive workplace.

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