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  • jobs
  • 2 weeks ago

jobs description

Contract Type:
Permanent

Location:
Hong Kong

Industry:
Technology

Reference:
55802_1707967867

Contact Name:
Miley Guan

Contact Email:

Job Description

About Our Client:

Our client is a global manufacturing company and they are looking for Data Engineer to join their team.

Responsibilites:
• Build and Optimize Azure Data Platform: Utilize Azure Synapse, Azure Data Lake, and other Azure services to construct, maintain, and optimize the data platform, ensuring efficient and stable data storage and processing.
• Design and Implement Data Pipelines: Create and maintain data pipelines by designing data integration strategies to extract, transform, and load data from various data sources such as relational databases, NoSQL databases, APIs, and more.
• Data Quality Management: Ensure the accuracy, integrity, and consistency of data through data cleaning, validation, and standardization processes to improve data quality.
• Performance Monitoring and Tuning: Continuously monitor the... performance of data platforms and pipelines, identify bottlenecks and issues, and perform tuning to enhance processing efficiency and throughput.
• Collaborate with Teams: Work closely with data scientists, data analysts, software developers, and other team members to ensure the fulfillment of data requirements and the effective utilization of data assets.
• Security and Compliance: Ensure that the data platform and pipelines comply with relevant security and compliance requirements, including data encryption, access control, and data protection policies.

Requirements:
• Education: Bachelor's degree or above in Computer Science, Engineering, or related fields.
• Work Experience: At least 2 years of experience in data engineering or related fields, with solid practical experience in Azure Data Engineering.
• Technical Skills:
• Proficient in Azure Synapse, Azure Data Lake, Azure Data Factory, and other Azure data services.
• Knowledge of data modeling and ETL/ELT processes.
• Understanding of big data processing frameworks such as Spark and PySpark.
• Basic database management skills in SQL and NoSQL.
• Communication and Team Collaboration: Able to communicate effectively with team members and stakeholders, understand business requirements, and translate them into feasible data solutions.
• Problem-solving Skills: Possess the ability to quickly identify and resolve complex data issues, able to remain calm and efficient under pressure.

Advantages:
• Certifications: Holding relevant Azure certifications such as Azure Certified: Data Engineer Associate.
• Open-source Technologies: Familiarity and experience with open-source data tools and technologies like Apache Kafka, Apache Hive, etc.

call Miley Guan at +852 3180 4977 for a confidential discussion. All information collected will be kept in strict confidence and will be used for recruitment purpose only
Hong Kong

salary-criteria

Apply - Data engineer ~ Manufacturing (35k) Hong Kong