Data Engineer

Accenture
Posted on
Accenture logo

Experience
3 - 5 yrs
Job Location
Pune, India
Vacancy
2
Designation
Data Engineer
Job Type
ONSITE

Job Description

Job Summary

As a Data Engineer, you will design, develop, and maintain data solutions, focusing on data generation, collection, and processing. This role requires proficiency in Microsoft Power Business Intelligence (BI) and a minimum of 3 years of experience, along with a 15-year full-time education.

About the Role

As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL (extract, transform and load) processes to effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and contribute to the overall data strategy of the organization.

Key Responsibilities

  • Expected to perform independently and become an SME.
  • Required active participation/contribution in team discussions.
  • Contribute in providing solutions to work related problems.
  • Assist in the design and implementation of data architecture to support business needs.
  • Monitor and optimize data pipelines for performance and reliability.

Requirements

Professional & Technical Skills

  • Proficiency in Microsoft Power Business Intelligence (BI).
  • Strong understanding of data modeling and database design principles.
  • Experience with ETL tools and processes.
  • Familiarity with data warehousing concepts and technologies.
  • Knowledge of data governance and data quality best practices.

Experience & Education

  • Minimum 3 years of experience is required.
  • Minimum 3 years of experience in Microsoft Power Business Intelligence (BI).
  • Educational Qualification: 15 years full time education.

Additional Information

  • This position is based at our Pune office.

Keywords

database design principlesdata warehousing concepts and technologiesETL tools and processesdata quality best practices

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