Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Это хорошо описанная роль инженера данных в крупной финансовой компании с современными облачными и потоковыми задачами и хорошим пакетом льгот, но зарплата не раскрыта, а широкий список технологий не показывает, насколько глубоко нужно знать каждую из них.
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Широкий список требованийЗарплата не указанаСовременный стекХорошие льготыКрупный работодатель
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer (Cloud Data Platforms): Designing and managing scalable batch and streaming data pipelines for business and analytics needs with an accent on cloud platforms, distributed data processing, privacy compliance, and modern data architectures. Focus on integrating diverse data sources, monitoring data loads, evaluating emerging technologies, and applying AI-enabled tools responsibly.
Location: Arlington, Texas, United States (hybrid); two days per week in the office
Company
hirify.global is General Motors' captive finance subsidiary, providing retail, lease, and commercial auto-finance solutions across North America, South America, and the Asia Pacific region.
What you will do
Design, integrate, and manage data pipelines using internal systems, external sources, and data warehouses.
Build business rules, functional enhancements, and scalable data schemas and processes.
Research and evaluate batch and streaming data-engineering technologies and support adoption of emerging capabilities.
Monitor data loads and resolve data availability and activation issues with internal business clients.
Coordinate with Privacy Compliance on appropriate data collection and handling.
Requirements
Experience designing, processing, and managing large-scale data with distributed platforms such as Hadoop, Spark, Kafka, or HDFS.
Hands-on experience with Azure, AWS, or Google Cloud and infrastructure-as-code tools such as Terraform, ARM Templates, or CloudFormation.
Experience building ETL and data pipelines across JSON, Parquet, relational and cloud databases, and messaging platforms.
Knowledge of data lakes, lakehouses, streaming pipelines, object storage, SQL/NoSQL databases, Docker, Kubernetes, Git, and CI/CD.
Understanding of data privacy, security, governance, regulatory considerations including GDPR, and Agile delivery methods.
High school diploma or equivalent and a bachelor's degree in a related field or equivalent experience required. Visa sponsorship is not available now or in the future.
Nice to have
Experience with Adobe Experience Platform, Real-Time CDP, Journey Analytics, tag management platforms, SDKs, or REST APIs.
Experience with data engineering and AI-enabled tools, including evaluating AI outputs for accuracy, compliance, bias, ethics, and data protection.
Culture & Benefits
Flexible hybrid work environment with two office days per week.
401(k) matching and a 12-week fully paid bonding leave for new parents.
Tuition assistance, training, community service pay, and nine company holidays.
GM employee auto discount and bonus eligibility.
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