Data Engineer - Global Business

Our client, a global business group, is working on their Real-time data platform and is seeking for Data Engineer (Azure Databricks). As a Data Engineer, you will play a crucial role in designing and maintaining the data infrastructure to support our growing business needs. Foster a collaborative and innovative culture where your expertise in Databricks and Azure will be instrumental in driving our data initiatives forward.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Databricks and Azure technologies.

• Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.

• Optimize data processes for performance and efficiency, ensuring data quality and reliability.

• Implement data security and compliance measures to protect sensitive information.

• Monitor and troubleshoot data infrastructure to ensure smooth operations.

• Stay updated on industry trends and best practices to continuously improve data engineering processes.

Key Requirements

• Bachelor's degree in Computer Science, Information Technology, or related field.

• At least 3 years of experience in data engineering 

• Strong proficiency in SQL and programming languages such as Python, Spark, R, Scala, etc. 

• Hands-on experience in Azure DataBricks or Synapse 

• Familiarity with cloud platforms and services, particularly Azure.

• Excellent problem-solving skills and attention to detail.

• Strong communication and collaboration skills to work effectively in a team environment.

Nice to Haves

• Certification in Databricks or Azure.

• Experience with big data technologies such as Hadoop or Spark.

• Knowledge of machine learning and data analytics tools.

• Familiarity with DevOps practices for data engineering.

If this outstanding opportunity sounds like your next career move, please submit through "Apply Now" or send your resume in Word format to Hanson Tsien at resume@pinpointasia.com and put Data Engineer - Global Business in the subject header.

Data provided is for recruitment purposes only.