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Data Engineer

3-5 Years
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  • Posted 17 hours ago
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Job Description

Project Role : Data Engineer

Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.

Must have skills : Python (Programming Language)

Good to have skills : NA

Minimum 3 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary:

As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems, contributing to the overall efficiency and reliability of data management within the organization.

Roles & Responsibilities:

  • Expected to perform independently and become an SME.
  • Required active participation/contribution in team discussions.
  • Contribute in providing solutions to work related problems.
  • Collaborate with cross-functional teams to understand data requirements and deliver effective solutions.
  • Monitor and optimize data pipelines for performance and reliability.

Professional & Technical Skills:

  • Must To Have Skills: Proficiency in Python (Programming Language).
  • Strong understanding of data modeling and database design principles.
  • Experience with ETL tools and frameworks.
  • Familiarity with cloud platforms and services for data storage and processing.
  • Knowledge of data quality and governance best practices.

Additional Information:

  • The candidate should have minimum 3 years of experience in Python (Programming Language).
  • This position is based at our Pune office.
  • A 15 years full time education is required.

, 15 years full time education



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About Company

Job ID: 147197823

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Pune, India

Skills:

PythonSqlETL processes and toolsdata warehousing solutionsData Modeling Techniques and Methodologiesdata governance and data quality frameworks