Data Architect
7 days ago
About the Role:
The Data Engineer at StarHub plays a vital role in the Customer Lifecycle Management (CLM) team by designing and implementing the data infrastructure that supports the team's analytics and data science initiatives.
This position is responsible for developing and optimizing data pipelines, ensuring data quality and accessibility, and collaborating with data scientists and analysts to enable efficient data-driven decision-making.
Key Responsibilities:
- Design, implement, and maintain efficient ETL (Extract, Transform, Load) processes to integrate data from various sources.
- Develop and maintain the data warehouse architecture, ensuring it meets the needs of the CLM team.
- Implement data quality checks and monitoring systems to ensure the accuracy and reliability of data used in analytics and reporting.
- Utilize big data technologies (e.g., Hadoop, Spark) to process and analyze large volumes of customer data efficiently.
- Collaborate with relevant stakeholders to implement data governance policies and procedures.
- Continuously assess and optimize the data infrastructure to improve performance, reduce costs, and enhance scalability.
Requirements:
- Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field.
- 3-5 years of experience in data engineering or a related field.
- Strong knowledge of data warehouse concepts, ETL processes, and data modeling techniques.
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