Cloud Data Processing Specialist

1 week ago

Singapore beBeeDataengineering Full time $90,000 - $120,000
Job Title: Data Engineer

As a data engineer, you will be responsible for designing, developing, and maintaining large-scale data processing systems. Your primary focus will be on building efficient and scalable data pipelines using Apache Spark (PySpark) to process big data in the cloud.

Responsibilities:
  • Design and develop complex data pipelines using PySpark to process massive datasets.
  • Maintain and optimize existing data processing systems to ensure high performance and scalability.
  • Collaborate with cross-functional teams to identify business needs and develop data solutions that meet those needs.
  • Develop and maintain ETL (Extract, Transform, Load) processes using Python and PySpark.
  • Work closely with data analysts and scientists to design and implement data visualizations using Power BI.
Requirements:
  • Bachelor's degree in Computer Science or a related field.
  • 2+ years of experience in Azure Data Engineering, Python, and PySpark.
  • Strong knowledge of Azure Synapse Analytics, including pipeline design and orchestration.
  • Experience with data visualization tools such as Power BI.
  • Expertise in developing and maintaining ETL processing pipelines in cloud-based platforms such as AWS, Azure, etc.
Preferred Skills:
  • Experience with DevOps practices and tools such as Azure DevOps.
  • Knowledge of data governance and compliance frameworks such as Purview.
  • Ability to work independently and collaboratively as part of a team.
  • Strong communication and problem-solving skills.
Keyword: DataEngineering

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