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 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 Modeling Techniques and Methodologies

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, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. This role requires creating efficient data pipelines to facilitate smooth data flow and ensuring the integrity and quality of data throughout its lifecycle. The position also involves implementing processes to extract, transform, and load data, enabling seamless migration and deployment across various systems. Collaboration with different teams to align data strategies and optimize system performance is an integral part of daily activities, fostering a dynamic and solution-oriented work environment.

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 the development and optimization of data pipelines to support business needs and data accessibility.
  • Facilitate knowledge sharing and mentoring within the team to enhance overall technical capabilities.
  • Coordinate with stakeholders to understand data requirements and translate them into technical specifications.


Professional & Technical Skills:

  • Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.
  • Strong experience in designing scalable and efficient data architectures.
  • Expertise in building and managing ETL processes to ensure reliable data integration.
  • Familiarity with data warehousing concepts and best practices.
  • Ability to troubleshoot and resolve data-related issues to maintain data quality and consistency.
  • Experience working with large datasets and optimizing data storage solutions.


Additional Information:

  • The candidate should have minimum 5 years of experience in Data Modeling Techniques and Methodologies.
  • 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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