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Data Engineer

Data Engineer

Accenture
Early Applicant
  • Posted 11 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 : Large Language Models (LLMs)

Good to have skills : NA

Minimum 5 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary:

As a Data Engineer, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. The role includes creating efficient data pipelines to facilitate smooth data flow, ensuring the accuracy and quality of data throughout its lifecycle, and implementing processes to extract, transform, and load data across various systems. This position requires continuous collaboration with different teams to optimize data infrastructure and support organizational data needs effectively.

Roles & Responsibilities:

  • Expected to be an SME, collaborate and manage the team to perform.
  • Responsible for team decisions.
  • Engage with multiple teams and contribute on key decisions.
  • Provide solutions to problems for their immediate team and across multiple teams.
  • Lead efforts to optimize data workflows and improve system performance.
  • Mentor junior team members to enhance their technical skills and project contributions.
  • Coordinate cross-functional initiatives to align data engineering efforts with business objectives.

Professional & Technical Skills:

  • Must To Have Skills: Proficiency in Large Language Models (LLMs).
  • Experience in designing and implementing scalable data pipelines and ETL processes.
  • Strong knowledge of data architecture principles and best practices for data quality assurance.
  • Familiarity with cloud-based data platforms and distributed computing environments.
  • Ability to troubleshoot complex data issues and optimize data processing workflows.
  • Experience working with large datasets and ensuring data integrity across multiple systems.

Additional Information:

  • The candidate should have minimum 5 years of experience in Large Language Models (LLMs).
  • This position is based at our Bengaluru office.
  • A 15 years full time education is required.




More Info

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Key Skills

Data architecture principles

ETL processes

Working with large datasets

Cloud-based data platforms

Distributed computing environments

About Company

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