Expired
Top 3 reasons to join us
- Chế độ đãi ngộ hấp dẫn
- Môi trường năng động
- Đầy đủ chế độ theo quy định
Job description
- Set up data platform technologies that are on-premises and in the cloud
- Manage and secure the flow of structured and unstructured data from multiple sources
- Should be comfortable working with relational databases, non-relational databases, data streams, and file stores
- Ensure that data services securely and seamlessly integrate with other data platform technologies or application services such as Azure Cognitive Services, Azure Search, or even bots.
- Must also get, ingest, transform, validate, and clean up data to meet business requirements
- Any other duties that is specific to the project
Your skills and experience
- Bachelor/Master's degree from a reputed institution
- 1+ Years of experience in Azure Services like Azure Data Factory, Databricks, Data Lake, Event Hub
- Minimum 2+ years of Python experience.
- Experience in data integration using Azure Data Factory with various input and output channels
- Experience implementing data pipelines using Azure Data Bricks with Python script.
- Hands-on experience using Cosmos DB.
- Experience writing SQL Query, Store procedure, and functions in SQL Server.
- Experience with RDBMS and NoSQL data storage.
- Experience with creating and analyzing Data models.
- Experience in system analysis and design.
- Experience working with HTTP APIs.
- Good understanding of ETL processes.
- Knowledge of using Azure Key Vault.
- Good to have knowledge/experience in Azure Analytics Services.
- English CV is required.
Why you'll love working here
- Work in a professional, dynamic and friendly environment
- To participate fully in the social insurance regimes & health insurance
- Official holidays according to Vietnamese regulations and many appealing annual corporate events
Pacotech
View company
PACO TECHNOLOGY (PROCESS AUTOMATION AND CONSTRUCTION TECHNOLOGY – PACOTECH)
Company type
IT Outsourcing
Company size
1-50
employees
Country
Singapore
Working days
Monday - Friday
Overtime policy
No OT
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