Data Engineer

Data Engineer

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.

Data Engineering

NA

Minimum

year(s) of experience is required

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 building and managing 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 efficiently across various systems, enabling seamless data migration and deployment. Collaboration with different teams to align data strategies and optimize data infrastructure is an integral part of daily activities.

Roles & Responsibilities:

- Expected to be a SME with deep knowledge and experience.

- Should have Influencing and Advisory skills.

- 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 to support business needs.

- Mentor junior team members and facilitate knowledge sharing within the team.

Professional & Technical Skills:

- Must To Have Skills: Proficiency in Data Engineering.

- Strong expertise in building and optimizing data pipelines and workflows.

- Experience with data integration and ETL tools to manage data migration and transformation.

- Knowledge of data storage solutions, including relational and non-relational databases.

- Familiarity with cloud platforms and distributed computing frameworks to handle large-scale data processing.

- Ability to ensure data quality, consistency, and security throughout the data lifecycle.

Additional Information:

- The candidate should have minimum 6 years of experience in Data Engineering.

- This position is based at our BDC11 - SEZ 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 

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.