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Data Engineer

Data Engineer

Accenture
7-9 Years
Not Disclosed

This job is no longer accepting applications

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 7.5 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. This role requires creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The position also involves implementing processes to extract, transform, and load data, facilitating seamless migration and deployment across various systems. The workday is dynamic, often involving collaboration with different teams to optimize data workflows 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 pipeline performance and scalability.
  • 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 Data Engineering.
  • Strong experience in designing and implementing data pipelines and ETL processes.
  • Knowledge of data storage solutions and database management systems.
  • Familiarity with data quality assurance and validation techniques.
  • Ability to work with large-scale data processing frameworks and tools.
  • Experience in troubleshooting and optimizing data workflows for efficiency.

Additional Information:

  • The candidate should have minimum 7.5 years of experience in Data Engineering.
  • This position is based at our Pune office.
  • A 15 years full time education is required.




More Info

Job Type:
Industry:
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Key Skills

Troubleshooting and optimizing data workflows

ETL processes

Large-scale data processing frameworks and tools

Data quality assurance and validation techniques

Data storage solutions

Designing and implementing data pipelines

About Company

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