Responsibilities
- Experience in Pyspark, SQL, Cloud data warehouse like Azure Synapse, databricks
- Experience working with structured and unstructured data
- Extensive knowledge of Data Warehousing concepts, strategies, methodologies
- Experience in ETL / Pipeline Development using tools such as Azure Databricks and Azure Data Factory with development expertise on batch and real-time data integration
- Experience in data ingestion, preparation, integration, and operationalization techniques in optimally addressing the data requirements
- Experience in relational data processing technology like MS SQL, Delta Lake, Spark SQL, SQL Server
- Experience with Orchestration tools, Azure DevOps, and GitHub
- Must be team oriented with strong communication, collaboration, prioritization, and adaptability skill
Essential Qualification
Azure Data Engineer
Azure Data Factory , Azure Data bricks Spark (PySpark or scala), SQL. Any other certificate in Azure/AWS/GCP and data engineering hands-on experience in cloud. We leverage our holistic portfolio of capabilities in consulting, design, engineering, operations, and emerging technologies to help clients...
Azure Data Engineer
Experience in ETL/Pipeline Development using tools such as Azure Databricks and Azure Data Factory with development expertise on batch and real-time data integration. Experience in Pyspark, SQL, Cloud data warehouse like Azure Synapse, databricks. Experience in data ingestion, preparation, integrati...
Azure Data Engineer (Synapse Specialist)
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Azure Data Engineer
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