Data Transformation Skills: Deep understanding of data transformation techniques to ensure completeness, accuracy and performance. Proficient in converting raw data into valuable datasets
Cloud Infrastructure Knowledge: Proficiency with Azure cloud infrastructure management and best practices for data security, scalability, and cost efficiency.
Analytical Problem-Solving: Ability to troubleshoot data issues and proactively improve processes to enhance data reliability.
Code Optimization: Proficient skills in writing and optimizing complex Python, Java, JSON, Spark and SQL/T-SQL queries for better performance, throughput and cost optimization.
Data Governance: Strong knowledge of data governance practices, including data quality, lineage, data at rest and in-transit security and role-based access control protocols.
Collaborative Communication: Ability to work cross-functionally with data scientists, analysts, visualization teams and business users to deliver comprehensive insights.
Excellent problem solving, critical thinking and analytical skills
Outstanding verbal and written communication skills