Key Responsibilities

• 5+ years' experience in Database and Data Engineering.
• Strong expertise in SQL and database performance tuning.
• Experience with AWS data services including:
• Amazon Aurora PostgreSQL
• AWS Glue
• Amazon Redshift
• AWS Quick
• AWS DMS and Schema Conversion Tool (desirable)
• Strong SQL and data modelling skills.
• Proficiency in Python and/or PySpark
• Experience building ETL/ELT pipelines and cloud-native data solutions.
• Familiarity with Git, CI/CD, DevOps, and Agile delivery practices.
• Understanding of data governance, security, and operational support.