
Data Engineer
1 day ago
Job Overview:
The Data Engineer is expected to work with one of our Client's Team in delivering and supporting Data Analytics Requirements. The resource is expected to collaborate with various stakeholders to deliver needed solutions across the organization. Technical expertise is highly expected from the resources to provide solutions and architecture as needed.
Job Description:
- Develop Data Engineering Requirements using Azure Data Factory, Python, SSIS and other relevant tools.
- Solutioning and delivery of Data Lake & Data Warehouse related solutions.
- Provide business of ad-hoc data requirements and be able to build simple dashboards.
- Support and maintenance of existing pipelines, queries, stored procedures, and reports.
- Collaborate with teams to develop and deliver solutions.
- Be able to develop reports and simple dashboards in PowerBI.
- Create and update required documents such as ERD, Technical Requirements Documentation, Business Requirements Documentation, Mapping Documentations etc.
Qualifications:
- Must have at least 4-7 years Relevant experience in Data Engineering.
- Development in Azure Data Factory is a priority but experience with Cloud ETL Looks such as AWS Glue or GCP Cloud Data Fusion/Flow is alo considered.
- Python programming skills in Data Analytics/Big Data is a must.
- Cloud Data Engineering skills in Azure (preferred), AWS, and/or GCP is a must.
- Must have experience working in enterprise environment with Data Warehouse/Data Lake/Data Lakehouse environment.
- Modern Data Architecture and Data Modeling experience.
- Worked on at least 2 enterprise scale projects as a Data Engineer.
- PowerBI or knowledge on BI tools is a must.
- Good communication and writing skills.
- Ability to manage stakeholders.
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