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 : NA
Minimum
7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Responsible AI Tech Lead, a typical day involves overseeing the integration of ethical considerations into artificial intelligence initiatives. This role requires designing and implementing solutions that ensure AI technologies are used responsibly and in compliance with relevant regulations. The position includes providing guidance and leadership to various teams, promoting collaboration across departments, and advocating for the adoption of ethical AI practices throughout the organization. The role demands a proactive approach to aligning AI projects with established ethical standards while fostering an environment of shared responsibility and innovation.
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 initiatives to promote awareness and understanding of responsible AI principles within the organization.
- Facilitate communication between technical and non-technical stakeholders to ensure alignment on ethical AI goals.
- Mentor junior team members to support their growth and understanding of responsible AI practices.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.
- Experience with cloud-based data engineering and analytics solutions.
- Strong knowledge of AI ethics frameworks and regulatory compliance related to artificial intelligence.
- Ability to design and implement scalable AI solutions with a focus on transparency and accountability.
- Skilled in cross-functional collaboration and leadership within technical teams.
- Familiarity with data governance and security best practices in AI deployments.
Additional Information:
- The candidate should have minimum 7.5 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.
- 100 percentage Work From Office
- Work will be performed in a secured bay environment with restricted access on Accenture-issued laptops.
- Offshore coverage is limited to Shift A and Shift B only
- Indicative split: 50 percentage Shift A / 50 percentage Shift B.
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.