Additional Comments:

Data Engineer – BI & Cloud Develop and maintain data pipelines using Python, SQL, and PySpark to ingest, transform, load data across various cloud environments, build reports. and will be responsible for: • Design data models and manage data warehousing solutions on platforms like Snowflake and SQL Server. • Implement data integration solutions across Azure based on project requirements. • Collaborate with analytics and BI teams to ensure data quality and availability for reporting tools such as Tableau and Power BI. • Employ DevOps practices using Git, CI/CD pipelines, and Docker for streamlined development, deployment, and version control. • Ensure data governance, security, and compliance across cloud and hybrid infrastructures. • Optimize performance and cost-efficiency of cloud data infrastructure and distributed processing systems.