Azure Data Engineer
Qualifications
Proven track record of designing and implementing data solutions on the Azure platform, with hands-on experience in Azure Data Factory, Azure SQL Data Warehouse, and Azure Synapse Analytics.
Deep understanding of data modeling, schema design, and performance optimization techniques in a cloud environment.
Experience with programming languages such as SQL, Python, or Scala for data manipulation and transformation.
Strong knowledge of data warehousing concepts, dimensional modeling, and ETL/ELT processes.
Familiarity with industry-specific data challenges and requirements in the oil and gas sector is highly desirable.
Excellent communication skills with the ability to collaborate effectively with cross-functional teams and stakeholders.
Azure certifications such as Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Solutions Architect Expert are a plus.
Please send me each of your candidates' information in a separate email and have them complete the Spark Hire THEN I will call them. I will not call any candidates until I have confirmation that the Spark Hire is completed
Spark Hire Link: https://hire.li/zsXNugbRoerrQ3camiweX
It will ask the candidates a few questions about their experience and the questions are below. Camera and microphone are on - a suit and tie are not necessary at all, but a collared shirt and clean background go a long way. This should be a natural response - so please do not read off of a resume.
As soon as this is completed I will give the candidates a call, talk to them a little about the job requirements, and submit them.
Questions for SH
In your past roles have you used Azure Synapse Analytics? Can you provide an example?
Can you explain the difference between a data lake and a data warehouse, and when you would choose to use each in a data architecture?
This role is located onsite in either San Antonio Texas or Findlay Ohio, are you comfortable working hybrid from either of these two locations.
