Data Engineer (Mid - Senior Level)

Reposted 3 Days Ago
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Hiring Remotely in Bangkok, Phra Nakhon, Bangkok, THA
Remote
Junior
Artificial Intelligence • Information Technology • Machine Learning • Consulting
The Role
The Data Engineer will create and maintain data pipelines, work with ingestion and ETL tools, optimize data warehouses, and collaborate on proof of concept products.
Summary Generated by Built In

As a Data Engineer at Data Wow, you will work closely with Data Scientists and Data Analysts to create data pipelines. You will get to work with data warehouse technologies as well as data ingestion tools. You will also get to work with Data Scientists to create proof of concept products for clients. You will be part of a team that delivers exciting data-oriented products.

Responsibilities
  • Creating, maintaining, optimizing various data pipelines
  • Work with data ingestion tools
  • Optimize data warehouse utilization
  • Create proof of concept products that integrate with machine learning models
  • Researching new ways to improve existing architecture

Requirements
  • Expertise in Python ; experience with web frameworks is a plus (Flask, Django, FastAPI)
  • Working knowledge of data warehousing technologies
  • Working knowledge of ETL technologies
  • Working knowledge of SQL
  • Experience with Google Cloud Service and AWS
  • Working knowledge of Docker
  • Experience with Kubernetes
  • Experience with Apache Kafka
  • Problem-solving attitude
  • Understanding of best practices regarding security
  • Collaborative team spirit
  • Good command of English

Benefits
  • Hybrid work
  • Health insurance
  • Annual health check
  • Laptop and other equipments
  • Free snacks & drinks
  • Education allowance
  • Performance bonus
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The Company
Bangkok, Bangkok
91 Employees
Year Founded: 2016

What We Do

Data Wow is an expert in data processing and a leader in AI development. With vigorous computer visions and best-in-class solutions supported by our strong Japanese partner, we offer end-to-end tailored solutions across all data stages – data labeling, management, and deployment. We are well-equipped with the capabilities to deploy web/app development, data pipeline and warehouse, data analytics, data security, Artificial Intelligence (AI), and Machine Learning (ML). Examples of our solutions and technologies are full-service data labelling and tools, data engineering, predictive analytics, big data, and tech/AI consultation and training. We leverage our knowledge in an extremely specific domain to address and tackle novel business problems via data-driven systems. We are industry agnostic, and we solve pressing issues for companies of all sizes – from startups to large enterprises. Through our holistic approach, we combine the latest technology with in-depth business understanding to deliver actionable, impactful and measurable values. Interested to learn more or work with us, please visit us via our website https://datawow.io/careers

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