Lead Assistant Manager

Summary:
Build and maintain scalable data pipelines, warehouses, and lakes to ensure accurate, accessible, and secure data for analytics and reporting.
Key Responsibilities:

• Develop and optimise data pipelines and ETL/ELT processes.
  
• Build and maintain data warehouse and data lake structures.
  
• Ensure data quality, governance, and security across platforms.
  
• Collaborate with data scientists and engineering teams.
  
• Monitor performance and troubleshoot data workflows.
  

Skills Required:

• Strong SQL, Python, Spark, Redshift.
  
• Experience with cloud data platforms (AWS/Azure). Preferably AWS.
  
• Knowledge of data modelling, governance, and metadata.
  
• Understanding of large-scale distributed data systems.

Key Responsibilities:

• Develop and optimise data pipelines and ETL/ELT processes.
  
• Build and maintain data warehouse and data lake structures.
  
• Ensure data quality, governance, and security across platforms.
  
• Collaborate with data scientists and engineering teams.
  
• Monitor performance and troubleshoot data workflows.
  

Graduate in Computer Science, Data Science, or related field. 3-4 years of experience in data engineering or a related field.

Skills Required:

• Strong SQL, Python, Spark, Redshift.
  
• Experience with cloud data platforms (AWS/Azure). Preferably AWS.
  
• Knowledge of data modelling, governance, and metadata.
  
• Understanding of large-scale distributed data systems.