To advance the organization by developing algorithms to build models that uncover connections and make better decisions without human intervention.
Data Engineers employ different techniques and tools to build frameworks that prepare information for usage by Data Scientists. Python, R, Java, and C++ are among the most popular coding languages utilized by Data Engineers.
Research and test new technologies,
Collaborating with other stakeholders,
Monitoring and Oversee company's data,
Managing users and user roles,
Detecting, announcing, and correcting errors.
Liaising with clients and coworkers to elucidate the requirements for every activity,
Generating and conceptualizing infrastructure, which allows lots of data to be accessed as well as examined,
Reformulating present frameworks to optimize the functioning of theirs,
Testing these kinds of structures to ensure that they’re fit for use,
Cooking raw details for manipulation by Data Scientists,
Correcting and detecting errors in the work of yours,
Ensuring that the work of yours remains backed up and immediately accessible to related coworkers,
Remaining up-to-date with technological advancements and industry standards which will better the quality of the outputs of yours.
Bachelor’s degree of Data Engineering, Big Data Analytics, Computer Engineering, or perhaps related field,
Master’s degree in a pertinent area is advantageous,
Proven experience as a Data Engineer, Software Developer, and related,
Professional proficiency in Python, R, Java, C++, and SQL,
Familiarity with Hadoop or suitable equivalent,
Great analytical and problem-solving skills,
A knack for independent and team work,
Scrupulous strategy to tasks,
Capacity to effectively manage a pipeline of responsibilities with little supervision.
It's always a good idea to include the benefits of the job the company will provide such as:
Flexible hours to give you freedom and increase productivity