Data Engineer- Offshore
Data Engineer- Offshore
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Job Description
Skills:
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.
Qualifications and Experience:
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.
Azure Data Lake Storage Gen2, Azure Data Factory, Databricks, Event Hub, Azure Synapse. Event Hub, Docker, Azure Kubernetes Service, Azure DWH, API Azure, Azure Function, Power BI, Azure Cognitive Services. Azure cloud stack in-production experience
Employment Type
Full Time
