Zensar – Data Annotation Engineer
Job Description
Zensar stands out as a premier technology consulting and services company, embracing an ‘experience-led everything’ philosophy. We are creators, thinkers, and problem solvers passionate about designing digital experiences that are engineered into scale-ready products, services, and solutions to deliver superior engagement to high-growth companies. This full lifecycle capability – from experience to engineering to engagement – is what makes us unique. This integrated approach also means that we harness the power of technology, creativity, and insight to deliver impact — ensuring our work focuses not just on technology but also on the people who use it.
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Responsibilities
To help our data scientists with their work, we are looking for a responsible, talented data engineer. The data engineer will be in charge of using machine learning techniques to build and maintain structures that enable data analysis while staying up to date with industry-leading deployment and programming methodologies. You should work with colleagues on different parts of this process to make sure your strategy fits the requirements of each project.
To create frameworks that prepare data for use by data scientists, data engineers use a variety of tools and methods. Among the most popular coding languages used by data engineers are Python, Java, R, and C++.
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.
Requirements:
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.
