Data Engineer

Posted:
9/26/2024, 3:10:58 AM

Location(s):
Karnataka, India

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
Data & Analytics

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 : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems. You will play a crucial role in managing and optimizing data infrastructure to support the organization's data needs. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work-related problems. - Design and develop data pipelines to extract, transform, and load data from various sources. - Ensure data quality and integrity by implementing data validation and cleansing processes. - Collaborate with cross-functional teams to understand data requirements and design efficient data solutions. - Optimize and tune data infrastructure to improve performance and scalability. - Troubleshoot and resolve data-related issues and provide technical support to stakeholders. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse. - Experience with SQL and database management systems. - Strong understanding of data modeling and database design principles. - Knowledge of ETL (Extract, Transform, Load) processes and tools. - Experience with cloud platforms such as AWS or Azure. - Good To Have Skills: Familiarity with big data technologies like Hadoop or Spark. - Experience with data integration and data migration projects. - Knowledge of data governance and data security best practices. Additional Information: - The candidate should have a minimum of 3 years of experience in Snowflake Data Warehouse. - 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 750,000 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. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song. These capabilities, 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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Accenture

Website: https://accenture.com/

Headquarter Location: Dublin, Dublin, Ireland

Employee Count: 10001+

Year Founded: 1989

IPO Status: Public

Last Funding Type: Grant

Industries: Business Information Systems ⋅ Construction ⋅ Consulting ⋅ Information Services ⋅ Information Technology ⋅ Infrastructure ⋅ Management Consulting ⋅ Outsourcing