Data Engineer, ShipTech Analytics

Join ShipTech Analytics (STA) as a Data Engineer to build the data and analytics
backbone powering Amazon's global transportation network. You'll contribute to
our vision of building an intelligent, autonomous, and scalable performance
management and decision support system across Amazon Transportation.

As a Data Engineer I, you'll work on building standardized data solutions that
empower operations teams worldwide. You'll develop both near-real-time (NRT)
streaming pipelines and batch processing pipelines that deliver critical
insights for decision-making. You'll also build data tools that enable
self-service analytics and automate operational tasks, while contributing to
innovative AI-powered solutions delivering automated insights across the
transportation network.

Key job responsibilities
- Design and build scalable near-real-time (NRT) streaming and batch data
pipelines supporting Amazon's global transportation network.
- Build data products and data tools that streamline the complete data lifecycle
including data ingestion, processing, backfill, storage, vending, and
operational support modules.
- 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,
operational best practices, and security compliance

A day in the life
You work backwards from what stakeholders need, clarifying ambiguities and
building data products and tools. Throughout the day, you're writing code for
data pipelines and building tools that handle ingestion, processing, storage,
and vending alongside software engineers.
Some days you're in design discussions about data infrastructure, pipelines and
tools.

Beyond coding, you're documenting datasets, tools and runbooks, and
participating in code reviews. When oncall, you monitor the pipeline health.
What makes the role interesting is the variety - you're partnering with
stakeholders, TPMs, SDEs building scalable data pipelines and tools that
directly affect how Amazon's transportation network operates.

About the team
ShipTech 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. Basic Qualifications: - 1+ years of
data engineering experience
- Experience with SQL
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more scripting language (e.g., Python, KornShell,
Scala) 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

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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
[https://amazon.jobs/content/en/how-we-hire/accommodations] for more
information. If the country/region you’re applying in isn’t listed, please
contact your Recruiting Partner.