Data Engineer, Devices Sales & Marketing

Socket.dev; Bellevue (WA); On-site; USD 132,000 - 179,000; Full time

Job summary

Amazon.com Data Engineer role in Bellevue, WA, USA, focusing on building and optimizing data warehouse solutions for large-scale customer and product datasets. You will design, create, manage, and utilize datasets to drive business decisions and improvements in performance below 200 milliseconds for recommendations.

You should excel in handling massive datasets, integrating diverse data sources, and collaborating with business owners to define key questions.

Qualifications

• 5+ years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
• Knowledge of professional software engineering and best practices for full software development life cycle, including coding standards, architectures, reviews, source control, CI/CD, testing, and operations.
• Knowledge of batch and streaming data architectures like Kafka, Kinesis, Flink, Storm, Beam.

Skills

Data engineering

Data modeling

ETL pipelines

Distributed systems

SDLC

Tools

Kafka

Kinesis

Flink

Storm

Beam

Job description

Do you want to build the premium shopping experiences for millions of Amazon customers? Do you want to work on performance challenges for providing the best recommendations in less than 200 milliseconds, given millions of customers and millions of products? Are you interested in working on Machine Learning and data science, believing every customer should not have the same experience? Amazon has a role or you.

As an Amazon.com Data Engineer you will be working in one of the world's largest and most complex data warehouse environments. You should be an expert in the architecture of DW solutions for the Enterprise using multiple technologies (RDBMS, Columnar, Cloud). You should excel in the design, creation, management, and business use of extremely large datasets. 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 datasets together to answer business questions and drive change.

Basic Qualifications

• 5+ years of data engineering experience


• Experience with data modeling, warehousing and building ETL pipelines


• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets


• Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence


• Knowledge of batch and streaming data architectures like Kafka, Kinesis, Flink, Storm, Beam

Preferred Qualifications

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions


• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)


• Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage

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.

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 - 132,100.00 - 178,800.00 USD annually