Lead AWS DE

Job description

**Job Description: 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. **Responsibilities: 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. Qualifications: 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.