Company Background: Well Established Organization with a growing Data Engineering team and is looking for further team expansion
Job Requirements:
The team is building data lake house solution using Azure stack; data engineer should be able to add value at solution, best practices, governance, testing, documentation, stakeholder, and vendor management
Have expertise or able to pick it up in no time (on job) to start adding value using Azure data services (Data Factory, Azure Data Lake Storage - ADLS Gen 2, Databricks, Synapse Analytics, Purview)
With knowledge or experience with ETL/ELT, BI tools, reporting, data security
Knowledge or experience in data modeling for analytical use cases
Ability to handle higher data volumes both for real-time operational reporting and analytical use cases; experience with performance tuning
Experience in working with agile project executions is a plus
Experience with technical documentation, design, and code review; ability to manage both technical discussions and business stakeholder discussions
Canete Christopher Miguel EA License No.: 02C3423 Personnel Registration No.: R23112144
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