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 Architecture Principles
Good to have skills : Snowflake Data Warehouse
Minimum 12 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. Collaboration with different teams to align data strategies and optimize workflows is an integral part of daily activities, ensuring that data solutions meet organizational 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.
- Expected to provide solutions to problems that apply across multiple teams.
- Lead the design and implementation of scalable data architectures that support business objectives.
- Mentor and guide junior team members to enhance their technical skills and project contributions.
- Coordinate cross-functional efforts to ensure data solutions are aligned with enterprise standards and compliance requirements.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Architecture Principles.
- Strong knowledge of data modeling techniques and best practices for designing robust data systems.
- Experience with building and optimizing data pipelines and workflows for large-scale data processing.
- Familiarity with data integration methods and tools to support seamless data migration and transformation.
- Ability to troubleshoot and resolve complex data-related issues to maintain data quality and system reliability.
- Understanding of cloud-based data storage and processing platforms to enhance scalability and performance.

Additional Information:
- The candidate should have minimum 12 years of experience in Data Architecture Principles.
- 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 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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