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About Company :
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies.
Job Description :
To support our data scientists, we are looking for a responsible, multi-skilled data engineer. While staying up to date with the most popular programming and deployment techniques in the industry, the data engineer will be in charge of using machine learning techniques to develop and maintain structures that enable data analysis. You should work with colleagues on different parts of this process to make sure your strategy fits the requirements of each project.
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You should exhibit adaptability, creativity, and the ability to take constructive criticism and apply it to your work as a data engineer. A strong data engineer will exhibit exceptional interpersonal skills and an insatiable curiosity.
Key Responsibilities:
- Liaising with coworkers and clients to elucidate the requirements for each task.
- Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed.
- Reformulating existing frameworks to optimize their functioning.
- Testing such structures to ensure that they are fit for use.
- Preparing raw data for manipulation by data scientists.
- Detecting and correcting errors in your work.
- Ensuring that your work remains backed up and readily accessible to relevant coworkers.
- Remaining up-to-date with industry standards and technological advancements that will improve the quality of your outputs.
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Knowledge and Attributes:
- Bachelor’s degree in data engineering, big data analytics, computer engineering, or related field.
- Master’s degree in a relevant field is advantageous.
- Proven experience as a data engineer, software developer, or similar.
- Expert proficiency in Python, C++, Java, R, and SQL.
- Familiarity with Hadoop or suitable equivalent.
- Excellent analytical and problem-solving skills.
- A knack for independence and group work.
- Scrupulous approach to duties.
- Capacity to successfully manage a pipeline of duties with minimal supervision.
