Critical Skills to Possess:
� Advanced working knowledge and experience with relational and non-relational databases.
� Advanced working knowledge and experience with API data providers
� Experience building and optimizing Big Data pipelines, architectures, and datasets.
� Strong analytic skills related to working with structured and unstructured datasets.
� Hands-on experience in Azure Databricks utilizing Spark to develop ETL pipelines.
� Strong proficiency in data analysis, manipulation, and statistical modeling using tools like Spark, Python, Scala, SQL, or similar languages.
� Strong experience in Azure Data Lake Storage Gen2, Azure Data Factory, Databricks, Event Hub, Azure Synapse.
� Familiarity with several of the following technologies: Event Hub, Docker, Azure Kubernetes Service, Azure DWH, API Azure, Azure Function, Power BI, Azure Cognitive Services.
� Azure DevOps experience to deploy the data pipelines through CI/CD.
� Minimum 5-7 years of practical experience as Data Engineer.
Bachelor?s degree in computer science, software engineering, information technology, or a related field.
� Azure cloud stack in-production experience.
Preferred Qualifications:
- BS degree in Computer Science or Engineering or equivalent experience