how to select the right Data Warehouse Engineer

Selecting the Right Data Warehouse Engineers

Hiring is one of the toughest challenges any company can face, either large enterprises or new startups. There is a great deal of know-how kind of experience when hiring a Data Warehouse Engineer, not all companies have the right processes that can warrant best hires.

At SupportFinity, we streamlined our processes and in-house standards to make sure of having one of the top world-class hiring processes. The magic mix of skills ingredients is what separates a great hire from a not-so-good one. We came to this conclusion through consulting top technical and HR experts in addition to our years of work and exposure with most sophisticated projects across almost all tech verticals and areas of expertise. So you get one of the best recruitment processes to hire a Data Warehouse Engineer.

As we have created and crafted a unique method of teams’ customization, we have also perfected our signature model of matching the right skills for our customers to hire either one Data Warehouse Engineer or a team of Data Warehouse Engineers. We have a long lasting belief in the power of data analytics in creating unmatchable results, thus, we apply our analytical models on our hiring process same as we do in our business model.

Data Warehouse Engineer Job Description Template

Data Warehouse Engineer


Responsibilities
  • The Data Warehouse Engineer supports current and future needs.
  • The Data Warehouse Engineer collaborates with the client’s technical team to gather technical requirements such as performance, maintainability and scalability.
  • Working with the business to gather functional requirements as well as the functional design process.
  • Working with the Architect team for new technology solutions and to receive approvals for any technical specifications created by the Engineering team.
  • Addresses data-related problems in regard to systems integration, compatibility, and multiple-platform integration.
  • The Data Warehouse Engineer works according to the project framework including timelines, quality plans, progress reporting, risk and issue identification and communication.
  • Implements and supports data transformation rules engine process and logic through data transformation.
  • The Data Warehouse Engineer provides guidance and implementation support to both the technical and application teams on systems interfacing with integration platform.

Qualifications
  • Experience working in Data Transformation platforms.
  • Experience working in Data Warehouse platforms.
  • Data modeling experience and concepts, with experience using multiple tools.
  • Experience support analytical platforms.
  • Hands on experience implementing and supporting Enterprise wide integrations.
  • Ability to develop technical documentation for training and user procedures.
  • You are flexible with languages and tools and are willing to learn whatever is necessary to get the job done.
  • You have a deep understanding of how to troubleshoot and support a large data warehouse. .

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Skills Matrix at SupportFinity

These are sets of the must have skills that we care about and put as top requirements needed for hiring first class Data Warehouse Engineer.

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Data Warehousing
Language aptitute metric at SupportFinity
Language Aptitude
We receive requests of hiring from candidates among more than 100 countries. As we bring skills from each and every place in the world, we make sure we have the right match of language proficiency with our clients' requirements. Your Data Warehouse Engineer or team of Data Warehouse Engineers will have the needed level of language knowledge you expect, each candidate passes through our language tests that warrant at least a good command of reading, writing and speaking of the languages our clients ask for.

We know that communication starts from speaking common languages, thus we put this aspect as a first factor in our selection process, we do not proceed with hiring for Data Warehouse Engineer before making sure that the candidate passes the language ability tests first.
Communication Quality metric at SupportFinity
Communication Quality
The next level of screening we perform at SupportFinity is the communication quality, in this stage we make sure that the Data Warehouse Engineer can deliver high quality of communication; especially on the technical aspects of the job. We conduct our assessments to cover multiple aspects of communication quality, such as:

The ability of self-explanation ( writing – speaking )

The ability of describing problems structurally and technically ( writing & speaking)

The ability of explaining ideas, situations and problems ( reading, writing & speaking)
Personality tests at SupportFinity
Personality Tests
Personality tests at SupportFinity
Technical Excellence
Samy, Customer Support Assistant from SupportFinity

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