Data Engineer II is the perfect position if you are able to write code to validate the storage and availability of data platforms. You will get the opportunity to work across a data pipeline, building basic visualizations and aggregations. They monitor pipeline health too.
In this position of Data Engineer II, candidates must know how they can implement solutions and improvements. It is because it minimizes points of failure across a product feature. So, it is important to know about it. It helps to maintain compliance with all applicable laws.
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Employer Details
Company: Microsoft
Location: Vancouver, British Columbia, Canada
Salary: CAD $85,000 – CAD $166,800 per year
Job Type: Full-time
Start Date: As soon as possible
Benefits: Industry leading healthcare, Educational resources, Discounts on products and services, Savings and investments, Maternity and paternity leave, Generous time away, Giving programs, Opportunities to network and connect
Job Description
- Always have to work on different technologies like highly scalable systems and latest technologies.
- Must know how processing petabytes of data daily with Microsoft Fabric works.
- Must know the working of Azure Data Lake as well as Azure Data Explorer.
- Collaborate with data science to derive actionable insights.
Responsibilities
- Try to learn how to implement basic code to extra raw data, as well as validate its quality.
- Always need to ensure the correct data which is ingested across multiple areas of work.
- Have to apply standard modification techniques.
- Must know how to transform raw data into forms compatible with downstream data sources.
- Work on the learning of design and maintain assigned data tools that are used to transform, manage, and access data.
Requirements
- Experience with Azure cloud.
Experience in other big data technologies. - Must have Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering.
- Experience of 1+ year in business analytics, data science, software development, data modeling, or data engineering is required.
- Otherwise must have a Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering.
- Experience of 1+ year in business analytics, data science, software development, data modeling, or data engineering is needed.
- Experience of 1+ year in big data experience with Apache Spark is important.
- Data driven, customer focused, and organized.
- Experience operationalizing and supporting services.
How to apply?
If you are really interested in the position of Data Engineer II and you are eligible for it, you can apply easily.