Data Engineer

Design & build scalable data pipelines that collect, transform, load, and curate data from various internal and external data sources. Build SSAS tabular models to serve the data to Power BI. Managing Power Apps Canvas Apps. Monitor and troubleshoot data pipelines and Tabular Models to ensure smooth operation and reliability. Document Data processes and maintain technical documentation. Develop efficient SQL queries, and stored procedures for data manipulation and retrieval. Build Data Models.

Good Knowledge of Data Warehousing concepts, Dimensional Data Modeling and Data Integration patterns. Strong SQL & SQL Server Database knowledge. Proficiency in T-SQL and/or PowerShell scripting languages. Hands-on experience with Integration Services (SSIS) & Analysis Services (SSAS Tabular Model and DAX). Good Implementation Knowledge of Python programming Language. Hands-on experience with Power Automate (Orchestrating Data Pipelines / Flows). Knowledge of Microsoft Power Apps (No-Code -> LowCode) Platform. Basic Concepts of Query & Code Optimization.