Data Engineer

We are seeking a skilled and detail-oriented Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and data warehousing solutions. This role involves working closely with cross-functional teams to ensure efficient data ingestion, transformation, and integration for analytics and business intelligence.

Ambition - Hong Kong - Full time

Salary: HKD30000 - HKD40000 per month

Key Responsibilities

  • Design, develop, and maintain robust data pipelines for ingestion, transformation, and storage.
  • Implement and optimize ETL processes using tools such as Azure Data Factory and Alteryx.
  • Manage and maintain data warehouses and ensure data integrity and quality.
  • Collaborate with data analysts, data scientists, and business stakeholders to deliver reliable data solutions.
  • Develop scripts and automation using Python, PowerShell, and other relevant technologies.
  • Utilize Databricks for big data processing and advanced analytics workflows.
  • Monitor and troubleshoot data workflows, ensuring high availability and performance.
  • Implement scheduling and orchestration frameworks (e.g., Apache Airflow) for data processes.
  • Ensure compliance with data governance, security, and privacy standards.


Qualifications

  • Experience: Minimum of 2-4 years as a Data Engineer or in a similar role.
  • Technical Skills:
    • Proficiency in Python and SQL Server.
    • Hands-on experience with Databricks for data processing.
    • Strong knowledge of ETL tools such as Azure Data Factory and Alteryx.
    • Familiarity with PowerShell scripting and Apache Airflow for workflow orchestration (preferred).
  • Data Expertise: Practical experience in data ingestion, data transformation, and data warehousing.
  • Soft Skills: Strong problem-solving abilities, attention to detail, and excellent communication skills.
  • Education: Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent experience).
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