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Senior Data Engineer (Big Data)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (Big Data): Building and operating modern data architectures, scalable data models, and intricate processing pipelines with an accent on Python, Spark, distributed systems, and cloud platforms. Focus on deploying production-scale data applications, collaborating with data scientists on model implementations, and ensuring data governance, security, privacy, and quality.
Location: Bangkok, Thailand; the successful candidate must be a Thai citizen
Company
is a technology consultancy helping clients solve complex business problems through software and technology.
What you will do
- Develop and operate modern data architectures and end-to-end data solutions.
- Build intricate data processing pipelines for complex client problems.
- Collaborate with data scientists to design scalable implementations of their models.
- Write clean, iterative code using TDD and continuous delivery practices.
- Use distributed storage and computing technologies to deploy, support, and operate data pipelines.
- Develop data models and contribute to data governance, security, privacy, and quality.
Requirements
- Hands-on experience with Python, Spark, and big data processing.
- Experience with at least one cloud platform: AWS, Azure, or GCP.
- Experience building and operating data pipelines and maintaining data storage in distributed systems.
- Experience with data modeling, distributed storage and processing platforms, and production-scale data applications.
- Knowledge of SQL, NoSQL, data lakes, data schemas, and other database technologies.
- Experience with stakeholder management, technical communication, mentoring, and handling ambiguous or high-risk situations.
Nice to have
- Databricks experience.
- Experience with data visualization techniques.
Culture & Benefits
- Career development is supported through interactive tools and development programs.
- Access to teammates who support continuous learning and professional growth.
- Autonomy is balanced with a collaborative cultivation culture.
- Recruitment AI tools are used for administrative support only and do not screen, rank, or make hiring decisions.
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