Data Engineer - SQL / Python

Description :

Must Have : Microsoft Fabrics, Python, Pyspark, SQL

• Putting together large, intricate data sets to satisfy both functional and non-functional business needs.
• Determining, creating, and implementing internal process improvements, such as redesigning infrastructure for increased scalability, improving data delivery, and automating manual procedures.
• Building necessary infrastructure using AWS and SQL technologies.
• This will enable effective data extraction, transformation, and loading from a variety of data sources.
• Reformulating existing frameworks to maximise their functioning.
• 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.
• Helping stakeholders, including the data, design, product, and executive teams, with technical data difficulties.
• Working on data-related technical challenges while collaborating with stakeholders, including the Executive, Product, Data, and Design teams, to support their data infrastructure needs.
• Remaining up-to-date with developments in technology and industry norms can help you to produce higher-quality results.

(ref : hirist.tech)