Data Engineer

• 5-7 years of experience in software development with a focus on data projects using Python, PySpark, and associated frameworks. 

• Proven experience as a Data Engineer with experience in Azure cloud. 

• Experience implementing solutions using Azure cloud services, Azure Data Factory, Azure Lake Gen 2, Azure Databases, Azure Data Fabric, API Gateway management, Azure Functions. 

• Strong SQL skills with RDMS or NoSQL databases. 

• Experience with developing APIs using FastAPI or similar frameworks in Python. 

• Familiarity with the DevOps lifecycle (git, Jenkins, etc.), CI/CD processes. 

• Good understanding of ETL/ELT processes. 

• Experience in the financial services industry, financial instruments, asset classes, and market data are a plus. 

• Assist stakeholders with data-related technical issues and support their data infrastructure needs. 

• Develop and maintain documentation for data pipeline architecture, development processes, and data governance. 

• In-depth knowledge of data warehousing concepts, architecture, and implementation. 

• Extremely strong organizational and analytical skills with strong attention to detail. 

• Strong track record of excellent results delivered to internal and external clients. 

• Excellent problem-solving skills, with the ability to work independently or as part of a team. 

• Strong communication and interpersonal skills, with the ability to effectively engage with both technical and non-technical 

stakeholders. 

• Able to work independently without the need for close supervision and collaboratively as part of cross-team efforts.