Hire First-Class
Big Data Platform Engineer
Also known as Big Data Architecture Expert , Big Data Engineer
Selecting the Right Big Data Platform 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 Big Data Platform 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 Big Data Platform 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 Big Data Platform Engineer or a team of Big Data Platform 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.
Big Data Platform Engineer Job Description Template
Big Data Platform Engineer
AKA: Big Data Architecture Expert or Big Data Engineer
The Big Data Platform Engineer is a technical job that requires substantial expertise in a broad range of software development and programming fields. The Big Data Platform Engineer should have sufficient knowledge of big data solutions to be able to implement those on premises or in the cloud
- The Big Data Platform Engineer have a significant responsibility and influence to shape the team’s future direction..
- The Big Data Platform Engineer designs, develops, tests, deploys, and maintains large scale data pipeline, and analytical solutions using big data technologies.
- Master diverse set of languages that span both data management languages and languages oriented towards web development.
- The Big Data Platform Engineer communicates the value of proposed solutions and recommendations to different audiences.
- Have a significant responsibility and influence to shape the team's future direction.
- Masters diverse set of languages that span both data management languages and languages oriented towards web development.
- The Big Data Platform Engineer provides advisory services and thought leadership to application teams on optimal usage of Big Data technology and platform.
- The Big Data Platform Engineer collaborates with application teams and guide them to choose the best suitable technology component for the application needs.
- Software development experience in one or more general purpose programming languages.
- Experience in developing large scale data warehousing, mining or analytic systems, and big data platforms.
- Experience with object-oriented/object function scripting languages.
- Understanding data warehousing and data lifecycle - Ingestion , Processing and servicing.
- Proficiency in problem solving and organizational agility.
- Results oriented, self-sufficient and steadfastly pushing self to achieve results.
- Experience in application development of distributed data storage and computing platforms.
- Excellent critical thinking, analytic, problem solving skills. .
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 Big Data Platform Engineer before making sure that the candidate passes the language ability tests first.
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)
This part mainly measures the logical, numerical and analytical aptitude of each candidate, top ones are the only ones we select for next stages.
We have a set of interview tests that measure the agreeability levels of each candidate for
Big Data Platform Engineer, we do so as we believe that likability of any person starts from the ability
to achieve high levels of agreeability without compromising critical thinking.
We also measure the creativity side of the Big Data Platform Engineer you look for, where we see when and how each
candidate can apply out-of-the-box and innovative ways of fixing problems or creating new solutions.
Some people can do well when working on their own, some others cannot!
Knowing this matters a lot when hiring a Big Data Platform Engineer with regard to the team size needed.
Remote work needs a special level of team work skills, so we make sure that your Big Data Platform Engineer can adapt and work well with your team
and be quickly part of it if needed.
We care about hiring someone who can deliver, create and perform the way you expect
with passion and enthusiasm.
We assess our people’s technical abilities on the merits of achievements more
than anything else.
Hiring the right Big Data Platform Engineer is an uneasy decision, we consider
measing the actual technical skills of each candidate.
Having a great resume
is just the start for us, we select candidates know what they say
they know!
We conduct advanced technical tests to make sure we cover the needed knowledge your
Big Data Platform Engineer needs to have to excel for your business.
We weigh academic qualifications as well, we also request our full time employees to submit their education evidence as a major hiring rule to follow. We believe having the right academic qualifications can make a great difference, especially in advanced science based areas like electronic design, engineering planning...etc.
One important metric for us is the ability of your Big Data Platform Engineer to learn new skills, so we make sure that we select people who are only dynamic and willing to learn new ones.
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Frequently asked questions
