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.