Data Engineer I, AFT BI Content

Amazon.com, Inc.
Bellevue, WA, United States
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$101,300.0 - $160,000.0
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Amazon S3 Big Data Cloud Computing Cloud Engineering Databases Data Definition Language Information Engineering Data Infrastructure Extract Transform Load (ETL) Data Systems Data Warehousing
+20 more
Relational Databases Query Languages Apache Hadoop Apache Hive Identity and Access Management Python (Programming Language) Korn Shell MultiDimensional EXpressions Scala (Programming Language) PL-SQL SQL Databases Technical Data Management Systems Scripting Apache Spark Electronic Medical Records Backend Data Lakes AWS Glue Data Pipelines Amazon Redshift

Job description

As an Amazon.com Big Data Engineer you will be working in one of the world’s largest and most complex data warehouse environments. You should be skilled in the architecture of DW solutions for the Enterprise using multiple platforms (RDBMS, Columnar, Cloud). You should have experience in the design, creation, management, and business use of extremely large data-sets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. Above all, you should be passionate about working with huge data sets and someone who loves to bring data-sets together to answer business questions and drive change.

As a Data Engineer in this role, you will develop new data engineering patterns that leverage a new cloud architecture, and will extend or migrate our existing data pipelines to this architecture as needed. You will also be assisting with integrating the Redshift platform as our primary processing platform to create the curated Amazon.com data model for the enterprise to leverage. You will be part of a team that builds the next generation data warehouse platform and to drive the adoption of new technologies and new practices in existing implementations. You will be responsible for designing and implementing the complex ETL pipelines in data warehouse platform and other BI solutions to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision-making at Amazon.com.

Key job responsibilities

  • Build and maintain backend data infrastructure for analytical and visualization platforms, ensuring data is clean, fresh, and optimized for downstream consumption

  • Translate business problem statements into technical data requirements, partnering with product management and stakeholders to define what data products to build

  • Automate and optimize reporting processes to enable self-service analytics at scale, reducing manual effort and improving speed to insight

  • Develop measurement frameworks and metrics that quantify deal execution performance and operational health

  • Ensure data quality through monitoring, validation, auditing, and documentation of pipelines and data sources

  • Leverage AWS services and generative AI to build next-generation data solutions that improve efficiency and unlock new analytical capabilities

About the team Amazon Fulfillment Technologies (AFT) powers Amazon’s global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.

Requirements

2+ years of data engineering experience

  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
  • Experience with database, data warehouse or data lake solutions
  • Experience with one or more scripting language (e.g., Python, KornShell)

Preferred Qualifications

  • Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
  • Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

Benefits & conditions

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, Bellevue - 101,300.00 - 160,000.00 USD annually

Apply for this position

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