Data Engineer- Offshore

· Advanced working knowledge and experience with relational and non-relational databases.

· 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.