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

Senior ETL Developer

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