<p><p><b>Description : </b><br/><br/><b>Must Have : </b><b>Microsoft Fabrics, Python, Pyspark, SQL</b><br/><br/>- Putting together large, intricate data sets to satisfy both functional and non-functional business needs.<br/><br/>- Determining, creating, and implementing internal process improvements, such as redesigning infrastructure for increased scalability, improving data delivery, and automating manual procedures.<br/><br/>- Building necessary infrastructure using AWS and SQL technologies.
</p><p><br/></p><p>- This will enable effective data extraction, transformation, and loading from a variety of data sources.<br/><br/>- Reformulating existing frameworks to maximise their functioning.<br/><br/>- Building analytical tools that make use of the data flow and offer a practical understanding of crucial company performance indicators like operational effectiveness and customer acquisition.<br/><br/>- Helping stakeholders, including the data, design, product, and executive teams, with technical data difficulties.<br/><br/>- Working on data-related technical challenges while collaborating with stakeholders, including the Executive, Product, Data, and Design teams, to support their data infrastructure needs.<br/><br/>- Remaining up-to-date with developments in technology and industry norms can help you to produce higher-quality results.</p><br/></p> (ref:hirist.tech)