Data Engineer

A global technology company that applies cutting-edge advances in technology to solve real-world problems.
$91,200 - $185,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
1+ year of experience
Enterprise SaaS · AI
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Description For Data Engineer

Amazon's Device, Digital & Alexa Support (D2AS) organization is seeking a Data Engineer to join their team of innovators. This role offers an exciting opportunity to work on customer support technologies for Amazon products, creating impact at a global scale. You'll be part of a team that manages secure and compliant infrastructure, adapting to evolving data requirements for Devices and Digital teams.

As a Data Engineer, you'll collaborate with data scientists and business intelligence engineers to build robust data architectures and pipelines. Your work will directly influence key business decisions through the development of advanced BI dashboards and applications. The role involves working with cutting-edge technologies like Spark, EMR, Python, Redshift, Glue, and S3.

The position offers competitive compensation ranging from $91,200 to $185,000 per year, depending on location and experience. Amazon provides a comprehensive benefits package including medical, dental, and vision coverage, parental leave options, 401(k), and PTO. The team values diverse backgrounds and experiences, encouraging applications from candidates who may not meet every qualification but are passionate about making an impact.

You'll be working in an environment that emphasizes operational excellence and core infrastructure enhancement. The role requires strong technical skills in data engineering, including experience with AWS technologies, query languages, and data visualization tools. If you're excited about solving complex data engineering challenges and creating scalable solutions that align with business goals, this position offers an excellent opportunity to grow your career at one of the world's leading technology companies.

Last updated 2 months ago

Responsibilities For Data Engineer

  • Work closely with data scientists and business intelligence engineers to create robust data architectures and pipelines
  • Simplify and enhance accessibility of large datasets through BI dashboards and applications
  • Take ownership of metrics, reports, analyses, and dashboards design and creation
  • Navigate ambiguous environments using data-driven insights and business expertise
  • Develop and manage scalable, automated data solutions using cutting-edge technologies

Requirements For Data Engineer

Python
  • 1+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with query languages (SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
  • Experience with scripting languages (Python, KornShell)
  • Experience with AWS technologies (Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, IAM)
  • Experience with data visualization software (AWS QuickSight or Tableau)
  • Bachelor's degree, or Master's degree

Benefits For Data Engineer

Medical Insurance
Dental Insurance
Vision Insurance
Parental Leave
401k
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • Parental Leave
  • 401k
  • Paid Time Off (PTO)

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