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 : Snowflake Data Warehouse
Good to have skills : Amazon Redshift, AWS S3 (Simple Storage Service), AWS DynamoDB
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 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 optimize data workflows and troubleshoot any issues that arise is an integral part of the daily routine, ensuring that data solutions meet organizational needs effectively and reliably.

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 design and implementation of scalable data architectures to support business requirements.
- Mentor junior team members to enhance their technical skills and understanding of data engineering best practices.
- Continuously evaluate and improve existing data processes to increase efficiency and reliability.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Snowflake Data Warehouse.
- Good To Have Skills: Experience with AWS S3 (Simple Storage Service), AWS DynamoDB, Amazon Redshift.
- Strong knowledge of data pipeline development and orchestration techniques.
- Experience with data integration and ETL tools to manage complex data workflows.
- Ability to optimize data storage and retrieval for performance and cost efficiency.
- Familiarity with cloud-based data storage and processing environments.

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

Exception - New Project

15 years full time education

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