Job
Description
Job title : Data Engineer Level brand : 4+ yrs Preferred Shift : Remote (night shift PST zone) Notice Period : 1 month Mandatory Skills: Advanced proficiency with Azure Data Factory, Power BI, and other Azure data tools. Strong command of Excel for data analysis, including PivotTables, charts, and integration with Power BI datasets. Expertise in data scoring techniques and a demonstrated ability to learn and apply U-SQL. Proven ability to independently pull, analyze, and interpret large datasets to drive business decisions. Excellent data visualization skills and experience plotting data for diverse audiences. Strong communication skills for effective collaboration across technical and non-technical teams. Demonstrated eagerness to learn new technologies and adapt to evolving data landscapes. Ability to work autonomously, manage multiple priorities, and deliver high-quality results in a fast-paced environment. Roles & Responsibilities : Build, manage, and maintain robust data pipelines for integration, transformation, and delivery of data using Azure Data Factory (ADF) and related Azure data services. Oversee real-time monitoring, logging, and alerting for data pipelines to ensure data quality, reliability, and timely issue resolution. Develop, automate, and maintain business reporting and alerting systems using Power BI and other visualization tools. Independently extract, manipulate, and analyze data from various sources to generate insights and support ad hoc business requests, leveraging Excel, Power BI, and other analytical tools. Demonstrate advanced skills in data scoring, U-SQL, and the ability to quickly grasp new data query languages and technologies. Visualize and plot data effectively to communicate findings and trends to stakeholders. Continuously learn and adopt new data technologies, tools, and best practices to improve data processes and capabilities. Collaborate with cross-functional teams to understand data requirements, share insights, and support domain-specific needs. Ensure data security, compliance, and adherence to organizational standards throughout all data processes
