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Data Engineer

Data Engineer

Accenture
2-4 Years
Not Disclosed
Early Applicant
  • Posted a day 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 : Data Engineering

Good to have skills : NA

Minimum 2 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary:

As a Data Engineer, your typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. You will be responsible for creating efficient data pipelines that facilitate smooth data flow across various systems. Ensuring the accuracy and quality of data is a key part of your role, along with implementing processes to extract, transform, and load data effectively. Your work enables seamless data migration and deployment, supporting the broader data infrastructure and analytics needs of 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 scalable solutions.
  • Monitor and optimize data workflows to improve performance and reliability.
  • Document data processes and maintain clear communication with stakeholders.
  • Assist junior team members in understanding data engineering concepts and best practices.

Professional & Technical Skills:

  • Must To Have Skills: Proficiency in Data Engineering.
  • Experience with designing and implementing data pipelines and ETL processes.
  • Strong knowledge of data storage solutions and database management.
  • Familiarity with data quality assurance and validation techniques.
  • Ability to work with large datasets and optimize data processing workflows.
  • Understanding of cloud-based data platforms and distributed computing.

Additional Information:

  • The candidate should have minimum 2 years of experience in Data Engineering.
  • This position is based at our DDC2A - SEZ location.
  • A 15 years full time education is required.




More Info

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Industry:
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Key Skills

ETL processes

Data storage solutions

Designing and implementing data pipelines

Cloud-based data platforms

About Company

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