• Designing and implementing the architecture of ETL using PySpark and SQL language in AWS Glue.
• Designing and developing transactional and analytical data structures.
• Aligning the Data technical capabilities to business objectives.
• Developing reporting solutions to support Business Intelligence, including resolving problems related to data analysis and reporting services
• Establishing and maintaining policies, operational procedures, and associated documentation for user interaction with the database environment.

Requirements:

• Minimum of 4 years' experience in Python
• Experience working with Python virtual environments
• At least 3 years' experience in a similar role, preferably in financial services or a multinational with digital capabilities
• Experience working with databases and analyzing data insights
• Proficient with BI software such as Jasper Soft and Tableau for creating interactive web based reports, dashboards, and analyses ETL/ELT experience within a big data environment
• Experience with both SQL and NoSQL databases
• Strong coding skills with source control management (e.g., Git) and a focus on unit and integration testing
• Proficient in SQL (ANSI, T-SQL, PL/pgsQL)
• Experience deploying AWS components remotely using AWS CLI
• Skilled in database modeling, design, development, debugging, and troubleshooting, including stored procedures and functions
• Knowledgeable in Linux with the ability to write shell scripts