6 дней назад
Principal Date Engineer
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Date Engineer (AWS/AI): Architecting enterprise data systems connecting subscribers, content, advertising, and digital products with an accent on distributed services, real-time pipelines, and machine-learning infrastructure. Focus on designing Snowflake and dbt data platforms, operating AWS services, and building low-latency personalization and content-discovery systems.
Location: Nashville, TN, United States; onsite
Company
Digital media company building subscription, content, advertising, and digital product experiences.
What you will do
- Architect the enterprise data ecosystem across ingestion, storage, transformation, infrastructure, and real-time analytics.
- Design distributed systems, high-availability APIs, event streams, and real-time data pipelines.
- Build production backend services and data workflows with Python or Go and advanced SQL.
- Design and scale Snowflake warehouses and layered dbt models, including data products, lineage, testing, and cost optimization.
- Develop machine-learning infrastructure, low-latency inference systems, recommendation systems, and personalization feedback loops.
- Set standards for observability, security, reliability, testing, cost efficiency, architecture reviews, mentoring, and incident response across AWS services.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 10+ years of experience in software engineering, data engineering, analytics infrastructure, or data-intensive platform development.
- Advanced experience with Snowflake and dbt, including warehouse design, transformation architecture, testing, documentation, data lineage, query optimization, and cost governance.
- Experience operating enterprise-grade AWS platforms, including SageMaker and Personalize, with infrastructure as code, CI/CD, observability, and production operations.
- Experience with Kafka, Segment, AWS Kinesis, Kinesis Data Firehose, Apache Flink, event-time processing, windowing, checkpointing, and schema evolution.
- Experience building machine-learning pipelines, recommendation systems, content personalization, and analytics solutions with tools such as Tableau.
Nice to have
- Experience with subscription media, streaming video, content discovery, payments, digital advertising, or high-growth consumer products.
- Exceptional problem-solving, debugging, written communication, and cross-functional collaboration skills.
Culture & Benefits
- Onsite work in Nashville, Tennessee.
- Equal employment opportunities and a workplace free from discrimination and harassment.
- Employment includes work authorization verification through E-Verify and background checks for new hires.
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