
Senior Data Engineer
4 days ago
The Data Engineer is IT 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 resource to provide solutions and architecture as needed. The resource will report to the D& IT Business Solutions Manager for Data in PH Market.
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…
Job Requirements:
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.
Independent can work on his/her own with minimal to zero supervision.
Machine Learning/AI understanding is nice to have.
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