Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
8+ years of experience in leading the design and development of data and analytics projects in a global company.
Experience in working for projects across cross functional teams, building sustainable processes and coordinating release schedules.
5 + years of MS SQL experience with data modeling and stored procedure programming
2+ years of experience in working with Microsoft Azure and strong knowledge about Databricks, ADLS, Blob Storage, Data Factory, SQL Server and Warehouses.
Experience in Cloud based EDW platforms (Snowflake, Synapse, Redshift, Big Query etc)
3+ years of experience in designing and building large-scale data processing systems using Apache Pyspark, Apache NiFi and other big data technologies.
Strong programming skills in Java, Scala, or Python.
Participate in an Agile / Scrum methodology to deliver high-quality software releases every 2 weeks through Sprints
Experience working on CI/CD processes and source control tools such as GitHub, etc.
5+ years of building and launching new data models that provide intuitive analytics for the analysts and customers