Job Description
o Experience: 5+ years of proven experience in Data Engineering, Data Development, or a similar role.
\n
o Data Modeling: Strong proficiency in relational and dimensional data modeling techniques (Fact and Dimension tables).
\n
o SQL Mastery: Advanced SQL skills, including writing complex queries, stored procedures, and performance tuning.
\n
o ETL Tooling: Hands-on experience with modern ETL tools (e.g. Azure Data Factory).
\n
o Visualization: Proficient in developing interactive dashboard in Power BI Desktop and paginated reports using PBI Report Builder.
\n
o Data Warehousing: Experience working with modern cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) or traditional systems (SQL Server).
\n
o Experience leveraging AI/ML tools or LLM APIs to optimize data pipelines, automate data cleansing/transformation, or enhance predictive data modeling capabilities.
\n
o Infrastructure: Experience in Azure cloud administration (deploying and managing enterprise solutions).
\n
o Problem Solving: Strong debugging and support skills to quickly triage and resolve data pipeline interruptions.
\n