Mandatory Skills- ADF/ADB/Snowflake/Data Migration, Data Modelling
Good to have skills- Snowflake
Years of experience required- 8-10 Yrs
Client Interview required?- Yes
Shift Timings- until 12 PM EST
Details-
Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure.
Work together with analysts to understand the needs for data and create effective data workflows.
Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations.
Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
Improve the scalability, efficiency, and cost-effectiveness of data pipelines.
Monitoring and resolving data pipeline problems will guarantee consistency and availability of the data.
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Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: ConsultingRole Category: IT ConsultingRole: IT Consulting - OtherEmployement Type: Full time