Lead AWS DE

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. 4-6 years of experience in data engineering or 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.