Data Engineer II, NASC Data Engineering Mid

D8 LooP; Bellevue (WA); On-site; USD 130,000 - 170,000; Full time

Job summary

D8 LooP in Bellevue, Washington, USA, is seeking a Data Engineer with 3+ years of experience to join the NASC SPEeD (Sortation Products Engineering and Data) team within the Amazon Transportation Services data initiatives.

The role focuses on data modeling, warehousing, ETL pipelines, and analytics using AWS Redshift, S3, Glue, EMR, Kinesis, Firehose, Lambda, IAM. Candidates should have hands-on experience with SQL, Spark, and streaming workloads.

Qualifications

• Experience with data modeling, warehousing and building ETL pipelines.
• SQL experience with AWS technologies like Redshift, S3, Glue, EMR, Kinesis, Firehose, Lambda, and IAM.
• Spark experience with AWS technologies like Redshift, S3, Glue, EMR, Kinesis, Firehose, Lambda, and IAM.

Skills

Data modeling

Warehousing

ETL pipelines

SQL

Spark

Streaming

Machine learning

Tools

AWS

Job description

Bellevue, Washington, USA Mid 3+ yrs Data Engineer posted 3 d ago

Looking for your next challenge? North America Sort Centers (NASC) are experiencing explosive growth and looking for a skilled, highly motivated engineers to join the NASC SPEeD (Sortation Products Engineering and Data) team. The Sort Center network is the critical Middle-Mile solution in the Amazon Transportation Services (ATS) group, linking Fulfillment Centers to the Last Mile.

Skills, with evidence

Experience with data modeling, warehousing and building ETL pipelines must have

• Warehousing Experience with data modeling, warehousing and building ETL pipelines must have
• AWS Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions must have · not practised here
• SQL - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Spark - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Streaming - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Machine learning We aim to leverage cutting edge technologies in big data, machine learning, and optimization techniques, and operate high volume, low latency, and high availability services. not practised here