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 : Python (Programming Language), PySpark
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 includes creating efficient data pipelines to facilitate smooth data flow, ensuring the accuracy and quality of data throughout its lifecycle, and implementing processes to extract, transform, and load data across various systems. The position requires continuous monitoring and optimization of data workflows to support organizational needs and enable seamless data migration and deployment.

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 to support business objectives.
- Facilitate knowledge sharing and mentoring within the team to enhance overall technical capabilities.
- Coordinate with stakeholders to align data engineering efforts with organizational goals.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform, Python (Programming Language), PySpark.
- Good To Have Skills: Experience with Python (Programming Language), PySpark.
- Strong expertise in building and optimizing data pipelines and workflows using modern data engineering tools.
- Experience in managing large-scale data processing and integration tasks across distributed systems.
- Ability to troubleshoot and resolve complex data-related issues to maintain data integrity and performance.
- Familiarity with cloud-based data platforms and best practices for data security and governance.

Additional Information:
- The candidate should have minimum 12 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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