Model Context Protocols Data Jobs

1 job found

25d ago

Data Engineer

Amazon.com Services LLC New York, NY

New York, NY

25d ago

$101k - $160k/yr Full time Analytics Big Data Business Intelligence

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Job Description

Data Engineer on the PV Global Brand Insights team at Amazon.com Services LLC, focused on building robust data pipelines and generating insights to help Prime Video understand and deliver value to customers. Location: New York, NY onsite. Salary: USD 101,300 - 160,000 per year.

Responsibilities

Design and optimize data models and pipelines to handle complex global datasets
Ensure ongoing data quality and provide self service access to datasets for business intelligence, AI tools, and Model Context Protocols (MCP)
Enhance metadata to improve AI results
Collaborate with research program leads, data scientists, BI engineers, and fellow data engineers to maintain stable, high-performing data solutions
Develop secure, reliable, testable, and maintainable code with minimal defects
Apply suitable data design strategies and make thoughtful trade-offs without over-engineering
Optimize resource usage across hardware, data storage, query performance, and AWS infrastructure
Actively participate in code reviews, design discussions, and roadmap planning
Diagnose root causes of complex problems while balancing stakeholder requirements with team priorities
Stay current on innovations in the field, including ways that AI can enhance data analysis and visualization for stakeholders
Develop and maintain automated reporting and dashboards to provide visibility into brand, marketing, and social performance and enable self-service insights

Requirements

2+ years of data engineering experience
Experience with data modeling, warehousing, and building ETL pipelines
Proficiency with one or more query languages such as SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, or Scala
Proficiency with one or more scripting languages such as Python or KornShell
Knowledge of data schema design concepts, including normalization and the distinction between relational and dimensional models
Understanding of professional software engineering practices across the full software development lifecycle, including coding standards, architectures, code reviews, source control, continuous deployment, testing, and operational excellence
Experience using BI tools like Tableau or Adobe to visualize data

Technologies

SQL and dialects: SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala
Scripting: Python, KornShell
BI and visualization: Tableau, Adobe
Big data and processing: Hadoop, Hive, Spark, EMR, Pig
Data integration and ETL tools: Informatica, ODI, SSIS, BODI, Datastage
Cloud storage and compute: S3, Redshift, Sagemaker, Kinesis, Lambda, EC2

Benefits

Health insurance
Sign-on payments
Restricted stock units (RSUs)
401(k) matching
Paid time off
Parental leave
Adoption and Surrogacy Reimbursement coverage
Employee Assistance Program (EAP)

About the Team

The PV Global Brand & Marketing Insights team drives global marketing decision-making by representing the voice of the customer for the Global Marketing organization. Our work spans multiple countries to identify universal customer truths while also capturing local nuance by partnering with in-country insights leads. We collaborate with teams responsible for planning and executing strategies to shape the future of the PV brand.

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