Data Engineer II, ShipTech Analytics

Do you want to be at the forefront of engineering big data analytical solutions that takes Amazon's global transportation models to the next generation? Do you have a solid analytical thinking, metrics driven decision making and want to solve problems with solutions that will meet the growing worldwide need? We are looking for strong Data Engineers to be part of Ship Tech 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, Dynamo

DB 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.

• 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.

Ship Tech Analytics serves as the data and analytics backbone for Amazon's global transportation network. The team builds standardized data solutions that streamline analytics and enable faster decision‑making for operations teams worldwide. Team members collaborate with cross‑functional partners to deliver data products and tools.

The team is modernizing systems, building near‑real‑time architectures, and building AI‑powered automation. Team members have opportunities to mentor others, prototype new ideas, and shape the future of the data analytics. The team values collaboration across geographies with members in multiple locations working together to serve global operations.

• 3+ years of data engineering experience.
• 3+ years of developing and operating large‑scale data structures for business intelligence analytics using ETL/ELT processes.
• 1+ years of developing and operating large‑scale data structures for business intelligence analytics using OLAP technologies.
• 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.

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, Fire Hose, 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).

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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