Senior Data Solutions Architect
1 day ago
IRIS Data Engineer.
Job Description:You will work with cross-functional teams to design and implement scalable data solutions that support analytics, reporting, and business intelligence needs.
The ideal candidate has experience in data engineering, cloud platform engineering, and data modeling. They should also be proficient in SQL and one other programming language.
A strong understanding of cloud platforms, containerization technologies, and Agile delivery practices is required.
Experience with Azure, Snowflake, and other technologies is a plus.
Key Responsibilities:- Design and develop robust, scalable, and high-quality data pipelines.
- Operationalize data solutions on cloud platforms.
- Apply dimensional modeling, star schemas, and data warehousing techniques.
- Ensure data integrity, privacy, and compliance through governance practices and secure schema design.
- 7+ years of data engineering or design experience.
- 5+ years of experience in ML Lifecycle using Azure Kubernetes service, Azure Container Instance service, Azure Data Factory, Azure Monitor, Azure DataBricks.
- 5+ years of experience in data engineering using Snowflake.
- Proficiency in SQL and one other programming language.
- Strong experience with cloud platforms (AWS, Azure, etc.) and containerization technologies (Docker, Kubernetes).
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