Leads discussions with key stakeholders to ensure that key business questions and problems are well defined and understood
Assists or leads the design, development and delivery of data sets/solutions to help meet business objectives
Design, build, maintain data pipelines that procure, transform and structure data from multiple systems into a format that can be easily used by downstream users in the data lake, Proficiency with Delta Format for data engineering workloads , leads ETL processes to develop data models and have them available within the appropriate application to be utilized by data analytics function and business users, manage the implementation, organization, and administration of various data platforms (e.g. Azure, Power BI etc.), Setting up role-based access controls / service principal access, configuring azure resources as per requirement, Integrating azure resources and Databricks analytics platform
Create tools to proactively monitor that data stats and reports/dashboards are accurate and updated when expected
Lead culture of continuous improvement by enhancing existing databases, data collection methods, statistical methods, technology, procedures, and training
Partner with data custodians and process experts to ensure quality of data and definitions to support building reliable data models and analysis
Demonstrates well-developed ability to anticipate impact and to proactively take initiative beyond direct responsibilities
High volume or complex work is completed in a timely and thorough manner with minimal rework
What you will need:Undergraduate Degree required. Statistics, Mathematics, Computer Science or another relevant engineering/technical field preferred.
Advanced Degree preferred
4 - 7 years of relevant degree experience required
Hands on working experience in following tools preferred - Azure Data Factory, Databricks, Analysis Services, Microsoft Flows
Proficient in common data programming languages (e.g. SQL, Python, R, DAX, Spark)
Hands on experience in Microsoft Flow, Microsoft Power Platform and Data Science concepts
Good understanding of statistics and ML /AI algorithms
Proficient in business intelligence and analytics platforms (e.g. Power BI, Tableau, Alteryx)
Experience with data modeling and database concepts
Travel Percentage: 10%