Quick Summary
- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.
15 years full time educationSummary: As a Data Engineer, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection,
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 : AWS AI Services
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, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. The role includes creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. Additionally, the position requires implementing processes to extract, transform, and load data, facilitating seamless migration and deployment across various systems. This dynamic environment encourages continuous improvement and adaptation to evolving data needs, fostering collaboration with different teams to support organizational objectives.
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 enhance performance and reliability.
- Document data processes and maintain clear communication channels within the team.
- Support junior team members by sharing knowledge and assisting with technical challenges.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in AWS AI Services.
- Experience with cloud-based data storage and processing solutions.
- Strong understanding of data pipeline architecture and ETL methodologies.
- Familiarity with data quality assurance and validation techniques.
- Ability to troubleshoot and resolve data integration issues efficiently.
- Knowledge of scripting and automation to streamline data workflows.
Additional Information:
- The candidate should have minimum 3 years of experience in AWS AI Services.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
15 years full time education
Visit us at www.accenture.com
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.
Location & Eligibility
Listing Details
- First seen
- September 27, 2026
- Last seen
- September 27, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 55%
- Scored at
- September 27, 2026
Signal breakdown
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