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 : Google Cloud Platform (GCP), DevOps
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 extract, transform, and load processes to facilitate seamless migration and deployment of data across various systems, enabling smooth data flow and accessibility for organizational needs.

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 workflows to improve system efficiency and reliability.
- Mentor junior team members to support their professional growth and enhance team capabilities.




- Coordinate cross-functional efforts to align data engineering initiatives with broader organizational goals.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Google Cloud Platform (GCP), DevOps.
- Strong experience in designing and managing scalable data pipelines and workflows.
- In-depth knowledge of cloud-based data storage and processing services.
- Ability to implement and optimize ETL processes for large-scale data migration and integration.
- Familiarity with automation and continuous integration/continuous deployment practices within cloud environments.
- Experience with monitoring, troubleshooting, and improving data system performance and reliability.

Additional Information:
- The candidate should have minimum 7.5 years of experience in Google Cloud Platform (GCP).
- This position is based at our Mumbai office.
- A 15 years full time education is required.

15 years full time education

About Accenture

Accenture is a leading global qualified services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale.



We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

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📌 Data Engineer (Navi Mumbai)
🏢 Accenture
📍 Navi Mumbai