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Data Engineer - Remote

Posted 13 weeks ago
Data Analysis
Full Time
Worldwide

Overview

A Data Engineer at Sand Technologies is responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support data-intensive applications and analytics solutions.

In Short

  • Design and implement scalable data pipelines.
  • Optimize data models and schemas.
  • Develop and automate ETL workflows.
  • Utilize big data technologies like Spark and Kafka.
  • Deploy data solutions on cloud platforms.
  • Implement data quality checks and governance policies.
  • Monitor and optimize data pipeline performance.
  • Collaborate with cross-functional teams.
  • Create and maintain technical documentation.
  • Continuously learn best practices in data engineering.

Requirements

  • Experience as a Data Engineer or similar role.
  • Hands-on experience with big data tools.
  • Strong problem-solving and analytical skills.
  • Solid understanding of data engineering principles.
  • Excellent communication and collaboration skills.
  • Ability to adapt to new technologies.
  • Proficiency in Python or similar programming languages.

Benefits

  • Work in a fast-growing enterprise AI company.
  • Collaborate with a team of over 300 engineers and scientists.
  • Contribute to meaningful AI solutions.
  • Opportunity to work on cutting-edge cloud-based data projects.
  • Flexible working environment.
Sandtech logo

Sandtech

Sand Technologies is a rapidly expanding enterprise AI company dedicated to addressing significant real-world challenges faced by large corporations and governments globally. As pioneers of meaningful AI, they develop advanced solutions that extend beyond traditional applications like chatbots, tackling critical issues in sectors such as telecommunications, sustainable water management, energy, healthcare, and climate change. With a remarkable growth of over 500% in revenue over the past year, Sand Technologies is supported by a talented team of over 300 engineers and scientists across Africa, Europe, the UK, and the US. The company is recognized for its innovative technology and has received numerous prestigious awards, positioning itself as a leader in the AI space.

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