
Data Engineer- Offshore
2 days ago
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.
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.
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