Vacancy expired!
- Translate business requirements into technical requirements to ensure solutions meet business needs
- Partner with other Data Engineers supporting the project to analyze, design, build, query, troubleshoot and maintain data pipelines (Azure Data Factory, Snowflake)
- Design and develop cloud data stores (Snowflake, Azure SQL)
- Integrate API (Services) to the data management platform
- Support existing pipelines and data infrastructure using the Microsoft stack (SQL Server, SSIS, SSRS, SSAS)
- Ability to gather requirements, design and execute a solution end to end as well as investigate new technologies to improve data pipelines
- Bachelor's degree in computer science, management information systems, or related, or equivalent experience
- 4+ years overall Data Engineering experience
- 2+ years of experience interfacing directly with business users of analytics platforms
- 4+ years of experience using Microsoft Azure for Data and Analytics solutions (Data Lake Store, Blob, SQL, Functions, Data Factory, Databricks)
- 2+ years of experience in languages like SQL, Python, Scala.
- Understanding of Web Application security (SSL, Active Directory)
- Preferred experience with near-real-time data ingestion and reporting (Streaming Analytics, Kafka, etc)
- 2+ years of experience using data visualization platforms (ideally Power BI)
Vacancy expired!