Database Engineer

Amazon in Seattle, WA

  • Industry: Information Technology - Data Architect/Analyst/Administrator
  • Type: Full Time
  • Compensation: $98,120.00 - 142,970.00 / Year*
position filled
This person will manage the development cycles of the Analytics team. He will build and maintain a stable and scalable data platform as an owner end-to-end. The ideal candidate will be passionate about working with big data sets and have the expertise to utilize AWS technologies to scale with considerable cost savings.
To be successful in this role, you should have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards and using analytical tools. You should have strong business and communication skills and be able to work closely with Amazon Advertising stakeholders to define key business questions and execute Agile/Sprint models coordinating across multiple teams.
Core Responsibilities
. Manage the intake and release process of DSP Analytics team by following Agile methodology.
. Regularly meet all the stake holders to share program updates and help them to build appropriate user stories.
. Publish weekly status reports highlighting blockers, monthly newsletters and conduct surveys to gather customer feedback.
* Design, implement and support an analytical data infrastructure from the ground up
* Managing AWS resources including EC2, EMR, S3, Glue, Redshift, etc.
* Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies
* Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
* Collaborate with Data Engineers and Business Intelligence Engineers (BIEs) to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
* Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
Basic Qualifications
* Bachelor's Degree
* 3+ years of industry experience in software development, data engineering, business intelligence, data science, or related field
* Data modeling, ETL development, and data warehousing experience
* Experience using big data technologies such as Spark, Hive, Redshift, or S3.
* Experience in one or more of: Python, R, Bash, or other scripting language
* Experience manipulating, processing, and extracting value from datasets
* Knowledge of data management fundamentals and data storage principles
Amazon is an Equal Opportunity Employer Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age
Associated topics: data integration, data integrity, data manager, data quality, data scientist, data warehouse, etl, hbase, mongo database administrator, sql

* Estimated salary


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