Data Engineer

10 hours ago

San Fernando, Central Luzon, Philippines beBeeDataInfrastructure Full time $28,000 - $35,500
Unlock the Power of Data Infrastructure Engineering

Join our team to design, develop, and maintain high-performance data infrastructure solutions that empower our business to make data-driven decisions.

We are seeking an experienced software engineer with a strong background in data engineering to collaborate closely with our scientists and engineers to drive innovation and growth. This is a unique opportunity to work on cutting-edge projects and technologies, shape our data engineering roadmap, and contribute to the development of next-generation AI models.

As a key member of our data engineering team, you will be responsible for building and maintaining scalable data pipelines, developing innovative data processing workflows, and collaborating with cross-functional teams to deliver high-quality data products. Your expertise in designing and implementing efficient data architectures, ensuring data quality, and developing robust data integration solutions will play a critical role in driving business growth and success.

Key Responsibilities:

  • Design and implement scalable data pipelines to support business growth and improve data quality
  • Develop innovative data processing workflows to enhance data accuracy and reliability
  • Collaborate with cross-functional teams to deliver high-quality data products and meet business objectives
  • Ensure data security, integrity, and compliance with industry standards and regulations

What We Offer:

  • Opportunity to work on cutting-edge projects and technologies
  • Collaborative and dynamic work environment
  • Competitive compensation package
  • Professional development opportunities
  • Flexible working arrangements and remote work options

Ideal Candidate:

  • Bachelor's or Master's degree in Computer Science or related field
  • 5+ years of experience in software development and data engineering
  • Strong background in data engineering, including data modeling, ETL processes, and data warehousing
  • Proficiency in programming languages such as Java, Python, or Scala
  • Experience with big data technologies, including Hadoop, Spark, and NoSQL databases
  • Excellent communication and collaboration skills

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