Data Engineer

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Accenture

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Job Summary


Salary
โ‚น68,229 - โ‚น104,394 / Monthly EST

Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Flow Analytics ETL

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 Science

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, 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 project requirements and best practices.


Professional & Technical Skills:

  • Must To Have Skills: Proficiency in Data Science.
  • Strong knowledge of data pipeline architecture and ETL process design.
  • Experience with data quality assurance and validation techniques.
  • Familiarity with database management systems and data warehousing concepts.
  • Ability to work with large datasets and optimize data processing workflows.
  • Understanding of cloud-based data platforms and integration methods.


Additional Information:

  • The candidate should have minimum 3 years of experience in Data Science.
  • This position is based at our Indore office.
  • A 15 years full time education is required.


, 15 years full time education

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