Senior Data Systems Developer

2 weeks ago

Guntur, Andhra Pradesh, India beBeeDataEngineer Full time US$ 1,80,000 - US$ 2,20,000
Job Overview

About People Prime Worldwide :

We are a trusted global innovator of IT and business services.

We help clients transform through consulting, industry solutions, business process services, digital & IT modernization and managed services.

We enable them, as well as society, to move confidently into the digital future.

Our team is committed to our clients' long-term success and combines global reach with local attention to serve them.

Key Responsibilities:
  • Data engineers design, implement and maintain large-scale data systems that support business intelligence.
  • They ensure the accuracy and integrity of data across multiple sources and systems.
  • Strong analytical skills and experience in statistical modeling and machine learning.
  • Ability to work independently and collaboratively as part of a cross-functional team.

As a data engineer at our organization, you will be responsible for building scalable data pipelines that meet the needs of our business.

You will also contribute to the development of new data products and features that drive business value.

In this role, you will have the opportunity to work on a wide range of projects and collaborate with colleagues from various departments.

This position requires strong technical skills and excellent problem-solving abilities.

Benefits

We offer a dynamic and supportive work environment that fosters professional growth and development.

A competitive salary and benefits package that includes health insurance, retirement plans and paid time off.

Opportunities for career advancement and professional growth within the company.

Requirements

To be considered for this role, applicants must possess a bachelor's degree in computer science, engineering or a related field.

Minimum 3 years of experience in data engineering or a related field.

Proficiency in programming languages such as Java, Python or Scala.

Experience with big data technologies such as Hadoop, Spark or NoSQL databases.

Knowledge of data modeling, data warehousing and ETL processes.

Strong analytical skills and experience in statistical modeling and machine learning.

Ability to work independently and collaboratively as part of a cross-functional team.

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