Data Engineer

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 : Data Architecture Principles, Data Governance, Data Analysis & Interpretation
Minimum 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 seamless migration and deployment of data across various systems. The position demands continuous attention to data quality and the implementation of processes that transform raw data into usable formats, enabling smooth data flow and accessibility for multiple teams and applications. Collaboration with different stakeholders to align data infrastructure with organizational needs is also a key aspect of daily activities.

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.
- Oversee the design and optimization of data pipelines to ensure efficient data processing and delivery.
- Facilitate knowledge sharing and mentoring within the team to support professional growth and skill development.
- Coordinate with cross-functional teams to align data engineering efforts with broader project goals and timelines.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering, Data Analysis & Interpretation, Data Architecture Principles, Data Governance.
- Good To Have Skills: Experience with Data Analysis & Interpretation, Data Architecture Principles, Data Governance.
- Strong expertise in building and managing scalable extract, transform, and load processes.
- Experience with data integration techniques and tools to support complex data workflows.
- Ability to ensure data quality through validation, cleansing, and monitoring practices.
- Familiarity with cloud-based data platforms and distributed computing environments.

Additional Information:
- The candidate should have minimum 5 years of experience in Data Engineering.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.

15 years full time education

About Accenture

Accenture is a leading global professional 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.

Visit us at www.accenture.com 

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