Amazon Compensation Data team is looking for Data Engineer (DE) to join our team for modernizing data warehouses serving business intelligence, data science and AI customers globally. Your role will involve designing, implementing, and supporting scalable solutions for metadata management, data pipeline orchestration,
ETL, data modelling and data visualization with the tools available from
AWS – including Sage Maker Unified Studio,
Redshift,
Glue,
S3, IAM, Cloudwatch, and Apache
Airflow. As DE you will be managing data infrastructure ,building automated CDK based solution. You will work with stakeholders to gather requirements for data logging,storing,transforming and reporting. The ideal candidate will be passionate about working with big data sets and have the expertise to utilize
these datasets to answer business questions and drive for best-in-class analytics, dashboard design and new innovative approaches.The ideal candidate will be entrepreneurial and innovative, thriving on solving challenging, ambiguous problems
Key job responsibilities
Work on the modernization of one of compensation data warehouses serving customers globally. As a Data Engineering, you'll architect scalable data infrastructure solutions, partner with business, product, and data science teams to deliver analytics and insights that drive day-to-day decision-making across the organization.
A day in the life
What you'll do:
Build end-to-end systems from ideation, experimentation through production deployment
Design and implement AI agents that automate complex decisions
Work directly with customer teams to identify automation opportunities and measure impact
Own the full project lifecycle: data pipelines, deployment, and monitoring
- 1+ years of data engineering experience
- Experience with
data modeling, warehousing and building
ETL pipelines
- Experience with SQL
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL,
Scala)
- Experience with one or more scripting language (e.g.,
Python, KornShell)
- Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, Finance or related field.
- - Hands on experience with
Python/
Scala, writing complex data transformations in
spark and automating pipelines.
- - Comfortable using
AWS services such as EMR(Hive/
Spark),
Redshift,
S3,
Glue, Cloudformation.
- - Experience in at least one modern scripting or programming language, such as
Python,
Java,
Scala, or NodeJS
- Experience with big data technologies such as:
Hadoop, Hive,
Spark, EMR
- Experience with any
ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit
https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 101,300.00 - 160,000.00 USD annually