Role Description :
Key Responsibilities :
Data Engineer will design implement and maintain data infrastructure solutions using Databricks Load and manage data products in Databricks Collaborate with the team to eliminate repetitive data using Power Automate starting with Finance As a Data Engineer you will support UAT testing and data consumption phases Work on AIenabled upselling and predictive ordering projects Ensure efficient and frictionless data delivery processes Participate in knowledge transfer sessions with external partners before the end of the year Design implement and manage Snowflake Data Warehouse solutions Utilize advanced SQL techniques to query and manipulate large datasets from multiple sources Design and develop interactive dashboards and visualizations using Tableau and Power BI Interpret data trends patterns and anomalies to identify actionable insights and opportunities Optimize SQL queries data pipelines and dashboard performance to ensure efficient data processing and visualization Work closely with crossfunctional teams to understand business requirements and deliver insightsdriven solutions What is Required (Qualifications) : 5 years of experience in data analysis business intelligence or a related field Solid expertise in SQL with experience writing complex queries stored procedures and functions Proficiency in Tableau and Power BI with experience developing interactive dashboards reports and visualizations Proven excellent analytical problemsolving and criticalthinking skills Proven solid communication and collaboration abilities with the ability to work effectively in crossfunctional teams How to Stand Out (Preferred Qualifications) : Relevant certifications in SQL Tableau or Power BI Experience with programming languages such as Python or R Experience in Snowflake Experience in Azure Experience in Databricks
Competencies : Digital : BI Data Visualization Tableau Digital : Microsoft Power BI Digital : Snowflake Digital : Databricks MySQL
Experience (Years) : 68