Senior Data Engineer (Consultant to Manager)
The position requires an individual to lead the effort to design, build and configure applications, and act as the primary point of contact. Technical BA knowledge and experience will be considered as an important advantage.
- Provide data delivery pipeline based on Company’s Azure cloud environment.
- Maintain data integrity, availability and confidentiality for multiple sources and users
Tools: Azure Data Factory, Azure Data Lake
Language: SQL, JSON
Knowledge: Azure PaaS Data services (i.e. IoT hub, Data Factory Data Lake, Blob Storage, Network security and authentication on hybrid cloud environment, RBAC and ACL, Relational database)
- Customize and deploy service instance on Company's DevOps
Tools: Azure DevOps Pipeline, Ansible role, Azure Active Directory
Language: Ansible, Jinja
Knowledge: Infra as a code, CICD, Ansible Roles and Playbook, Azure Resource Management
- Prepare, optimize and deploy data preparation process
Tools: Azure Databricks, Azure Data Lake
Language: Python, Spark, SQL
Knowledge: Data tools and libraries (Pandas, Jupyeter, Sklearn, Keras, TensorFlow), Cluster environment, Data structure, Code optimization
Technical Business Analyst
- Provide advice for web application design on cloud service solutions
- Deploy cloud service instances
Language: C#, SQL
Knowledge: 3-tier web application design, Azure PaaS service, serverless service, relational database, Azure Data Factory, Azure DevOps
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Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
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