Job Description
Job Description  Develop and maintain ETL/ELT pipelines using Databricks.  Write efficient Pyspark & Python Scripts for large-scale data processing.  Implement data models, transformations and CI/CD pipelines for automation.  Develop reusable data engineering frameworks, libraries and templates for ingestion, transformation, validation and publishing.  Ensure Data Quality, Reliability, and Performance across pipelines and shared frameworks.  Design, develop, test and deploy Power BI scripts and generate visually appearing and insightful reports.  Integrate Power BI reports into Applications to provide enhanced business capabilities.  Build data models and develop dashboards using Power BI desktop.  Work with Reliability Engineers to design and develop Power BI data Visualizations.  Proficient in using DAX expressions and Power Queries for developing and optimizing Power BI dashboards and reports.  Knowledge of Azure Cloud Data Engineering Tools.  Analysis of Validation Test Results.  Development of Interfaces for Measurement and Simulation.  Development and Maintenance of Test Automation system related Tools.  Support Downstream consumers such as analytics, reporting, testing and Reliability teams.   Desired Skills  Good knowledge of data engineering concepts, ETL/ELT pipelines, and data lifecycle management.  Excell
