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Experienced Full Stack Data Entry Specialist – Cloud Application Development

100% Remote Full-time Open now

At arenaflex, we're on a mission to revolutionize the way we approach data entry and cloud application development. We're a forward-thinking organization that values innovation, collaboration, and continuous learning. As an Experienced Full Stack Data Entry Specialist, you'll play a critical role in shaping the future of our cloud-based applications and driving business growth.

Job Highlights:

*

Company:

arenaflex

Position:

Remote - Full Stack Data Entry Specialist

Start Date:

Immediate openings available

Compensation:

Competitive salary

Location:

Remote

Job Details:

*

Hiring Organization:

arenaflex

Post Name:

Full Stack Data Entry Specialist

Qualifications:

Bachelor's degree in Computer Science or a related field

Industry:

Private

Employment Type:

Full-time

Work Hours:

8 hours

Salary:

$25/hour

Locations:

Remote (with flexibility to work from anywhere)

Job Description:

At arenaflex, we're passionate about creating a workplace that's driven by speed, soul, and a commitment to excellence. We're looking for talented individuals who share our values and are eager to join our team. As a Full Stack Data Entry Specialist, you'll be responsible for designing, developing, and implementing cloud-based applications that meet the evolving needs of our business.

Key Responsibilities:

* Plan and execute data storage, including all layers of data architecture (ingestion, capacity, serving layer) in Azure cloud.

  • Design and implement data handling using various ETL tools for data ingestion, purification, transformation, and loading.
  • Plan and execute data security by implementing job-based access control, as well as encryption and scrambling sensitive data.
  • Monitor and optimize data storage and data handling using observing devices, executing document idea, and question tuning.
  • Collaborate with cross-functional teams to drive project execution and deliver high-quality results.
  • Develop and maintain strong relationships with stakeholders, including business leaders, technical teams, and customers.
  • Stay up-to-date with industry trends and emerging technologies, applying knowledge to drive innovation and improvement.

Key Capabilities and Qualifications:

* Bachelor's degree in Computer Science or a related field.

  • Profound understanding of cloud technologies and experience delivering large-scale projects on time.
  • Excellent knowledge of Azure Neural Network Data Pipelines (ADF data is also a plus).
  • Profound knowledge of PySpark, Flash SQL, T-SQL, and other data processing tools.
  • Experience with Azure capabilities Application (coded in Python) is a plus.
  • Excellent understanding of Agile methodologies and experience with Scrum or Kanban.
  • Highly developed analytical and problem-solving skills, with a strong attention to detail.
  • Strong communication and interpersonal skills, with the ability to work effectively with diverse stakeholders.
  • Experience with data visualization tools and techniques is a plus.

Preferred Qualifications:

* Certificate in DP-203 (Microsoft Certified: Azure Data Scientist Associate) is highly desirable.

  • Experience with machine learning and artificial intelligence is a plus.
  • Familiarity with DevOps practices and tools, such as Jenkins, Docker, and Kubernetes.

What We Offer:

* Competitive salary and benefits package.

  • Opportunity to work with a dynamic and innovative team.
  • Flexible work arrangements, including remote work options.
  • Professional development and growth opportunities.
  • Collaborative and inclusive work environment.
  • Recognition and rewards for outstanding performance.

How to Apply:

If you're a motivated and talented individual who is passionate about data entry and cloud application development, we encourage you to apply. Please submit your resume and a cover letter outlining your experience, qualifications, and interest in the role. We can't wait to hear from you! Apply To This Job Apply for this job

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