Data Engineer II, ShipTech Analytics

Amazon • Bellevue, WA

1d • Onsite

About The Position

We are looking for strong Data Engineers to be part of ShipTech Analytics team to build data and analytics solutions powering Amazon's global transportation network. We perform data modeling, build real time analytical platforms using big data tools and AWS technologies like Hadoop, Spark, EMR, SNS, SQS, Lambda, Kinesis Firehose, DynamoDB Streams. As a Data Engineer, you'll work on building analytical solutions that empower operations teams worldwide. You'll develop both near-real-time streaming pipelines and batch processing pipelines that deliver critical insights for decision-making. You'll also build metrics for the transportation network, while contributing to innovative AI-powered solutions delivering automated insights across the transportation network.

Requirements

• 3+ years of data engineering experience
• 3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
• Experience with SQL
• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• Experience with data modeling, warehousing and building ETL pipelines

Nice To Haves

• 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)

Responsibilities

• Design and build scalable near-real-time streaming and batch data pipelines supporting Amazon's global transportation network.
• Build data products and data tools that streamline the complete data lifecycle
• Partner closely with stakeholders across operations and analytics teams to understand requirements, design solutions, and deliver datasets and data tools that enable faster, more informed decision-making
• Own data quality and implement enhancements for datasets that enable operational excellence and improve customer experience
• Collaborate with cross-functional teams to standardize analytics capabilities and build AI-powered automation
• Leverage AWS cloud technologies to transform raw data into actionable metrics
• Drive continuous improvement through code reviews, design discussions, and operational best practices
• Partner with senior engineers and principals to solve problems at scale to improve existing data services, building new ones, that enhance customer experience

Benefits

• 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
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed