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: Databricks Unified Data Analytics Platform
Good to have skills: Microsoft Azure Analytics Services, Microsoft Azure Databricks, PySpark
Minimum 3 year(s) of experience is required
Educational Qualification: 15 years full time education

Summary:
As a Data Engineer, your typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. You will be responsible for creating efficient data pipelines that facilitate smooth data flow across various systems. Ensuring the accuracy and quality of data is a key part of your role, along with implementing processes to extract, transform, and load data effectively. Your work enables seamless data migration and deployment, supporting the broader data infrastructure and analytics needs of the organization.

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.
Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
Monitor and optimize data workflows to improve performance and reliability.
Document data processes and maintain clear communication with stakeholders.
Support junior team members by sharing knowledge and assisting with technical challenges.

Professional & Technical Skills:
Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform, Microsoft Azure Analytics Services, Microsoft Azure Databricks, PySpark.
Good To Have Skills: Experience with Microsoft Azure Analytics Services, Microsoft Azure Databricks, PySpark.
Strong knowledge of data pipeline architecture and ETL best practices.
Experience with cloud-based data platforms and distributed computing.
Ability to troubleshoot and resolve data integration and processing issues.
Familiarity with data governance and security principles.

Additional Information:
The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.
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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