Quick Summary
- 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.
15 years full time educationSummary: Exception - New projectAs a Data Engineer, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation,
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 : Data Modeling Techniques and Methodologies
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
Exception - New project
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 requires building and managing data pipelines that facilitate smooth data flow across various systems. The position also focuses on ensuring the accuracy and quality of data while implementing processes to extract, transform, and load data efficiently. Collaboration with different teams to deploy data solutions and optimize data handling is a key part of daily activities, contributing to the overall data infrastructure and operational success.
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 the design and implementation of scalable data pipelines to support business needs.
- Monitor and optimize data workflows to ensure high performance and reliability.
- Mentor junior team members to enhance their technical skills and understanding of data engineering practices.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.
- Strong knowledge of data pipeline architecture and data integration strategies.
- Experience with data quality assurance and validation techniques.
- Familiarity with database management systems and data warehousing concepts.
- Ability to troubleshoot and resolve complex data processing issues.
- Understanding of data governance and compliance standards.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Data Modeling Techniques and Methodologies.
- 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
- Posted
- September 21, 2026
- First seen
- September 27, 2026
- Last seen
- September 27, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 32%
- Scored at
- September 27, 2026
Signal breakdown
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