Develop, deploy, and maintain ETL processes using Microsoft SQL Server Integration Services (SSIS) to extract, transform, and load data from various sources into our data warehouse. Design and implement data integration solutions to ensure data quality, integrity, and consistency across different systems and platforms.

Write Python scripts to automate data processing tasks, perform data analysis, and develop custom data processing solutions.

Collaborate with data engineers, data analysts, and business stakeholders to gather requirements and define technical specifications for data integration projects. Optimize and tune data pipelines for performance, scalability,

and reliability to meet SLAs and business objectives. Document technical designs, procedures, and best practices for data integration processes and workflows.

Stay up-to-date with emerging technologies, tools, and trends in data integration, ETL, and data engineering.