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Data Engineer- Pyspark

Work form home jobs in DeRisk360 | Data Engineer- Pyspark | Freshers job 2024

Data Engineer- Pyspark

DeRisk360 ( Remote, India )

Job Description

Work form home jobs in DeRisk360 for Data Engineer- Pyspark . We are seeking a talented PySpark/AWS Developer to join our innovative team. This role is ideal for someone passionate about leveraging cloud technologies to drive data analytics and AI solutions.Data engineers provide frameworks that prepare information for use by data scientists using a variety of tools and approaches. Among the most popular programming languages used by data engineers are Python, Java, R, and C++.

To support the work of our data scientists, we are seeking a responsible, multi-skilled data engineer. While staying up to date with prevalent programming and deployment tactics in the industry, the data engineer will be in charge of using machine learning techniques to build 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.

Skills set Required for this Job :
  • a bachelor’s degree in computer science, data engineering, big data analytics, or a similar profession.
  • It is beneficial to have a master’s degree in a relevant discipline.
  • shown expertise in software development, data engineering, or a related field.
  • expert knowledge in SQL, R, Java, C++, and Python.
  • knowledge of Hadoop or an acceptable substitute.
  • outstanding ability to analyse and solve problems.
  • a talent for working independently and in groups.
  • meticulous in performing tasks.
  • Ability to effectively oversee a flow of work with little guidance.
Job Responsibilities
  • communicating with clients and coworkers to clarify the specifications for each task.
  • conceiving and building the infrastructure necessary to access and analyse massive data.
  • restructuring current frameworks to improve how well they work.
  • To make sure such structures are suitable for use, test them.
  • preparing unprocessed data so that data scientists may work with it.
  • identifying and fixing mistakes in your work.
  • ensuring that appropriate colleagues can easily access and maintain a backup of your work.
  • keeping abreast of technical developments and industry standards to enhance the calibre of your outputs.
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What are the important dates & deadlines?

Application Deadline

Although they did not provide a deadline for application submission, attempt to apply as soon as you can to gain priority.

Additional Information

Job Location(s)

Remote, India

Experience

Freshers / Experience

Salary

Best in industry

Job Type/Timing

Job Type: In Office Job Timing: Full Time

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