As an Advanced Application Engineer, you will engage in a variety of tasks that involve utilizing modular architectures and next-generation integration techniques. Your typical day will include collaborating with Application Development Teams to provide innovative solutions, leveraging a cloud-first and mobile-first approach. You will also participate in Agile methodologies to ensure value creation across diverse projects, contributing to the overall success of the team and organization.

Responsibilities:

• Expected to perform independently and become an SME.
• Required active participation/contribution in team discussions.
• Contribute in providing solutions to work related problems.
• Collaborate with cross-functional teams to identify and resolve technical challenges.
• Design and implement scalable solutions that align with business objectives.
• Continuously evaluate and improve existing processes and systems.
• Mentor junior team members and share knowledge to foster a collaborative environment.
• Stay updated with industry trends and emerging technologies to enhance project outcomes.

Qualifications:

• Required Skill: Expert proficiency in Microsoft Power Business Intelligence (BI).
• Additional Good To Have Skills: Experience with Databricks Unified Data Analytics Platform.
• Strong analytical skills to interpret complex data sets and derive actionable insights.
• Proficiency in data visualization techniques to effectively communicate findings.
• Experience in developing and maintaining dashboards and reports for stakeholders.
• Ability to work with large datasets and perform data transformations as needed.

Additional Information:

• Experience in ADF and Azure Data Bricks.
• Has experience in working with difference data sources (Dynamics, GA4, BigQuery)
• Good to know: SFMC, GA4 and BigQuery data models
• Data Modelling: Designing and building data models that enable efficient data analysis, including creating relationships between different data tables and optimizing data structures for performance.
• Data Transformations: Skills in cleaning, shaping, and transforming data via Power Query, DAX or M language. This allows data to be prepared for analysis and reporting.
• Understanding of Data Visualization Principles in Power BI: Knowing how to create visually appealing and informative reports. This involves selecting the right type of visualizations and designing reports that effectively communicate data insights.