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: 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 : Data Engineering
Good to have skills : NA
Minimum 5 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 requires creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The position also involves implementing processes to extract, transform, and load data, facilitating seamless migration and deployment across various systems. Collaboration with different teams to align data strategies and optimize workflows is an integral part of daily activities, ensuring that data infrastructure supports organizational needs effectively.
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 development and optimization of data pipelines to support business requirements.
- Coordinate cross-functional efforts to ensure data solutions are scalable and maintainable.
- Mentor junior team members to foster skill development and knowledge sharing.
- Drive continuous improvement initiatives to enhance data processing efficiency and reliability.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering.
- Experience with designing and implementing ETL processes to handle large volumes of data efficiently.
- Strong knowledge of data warehousing concepts and architecture.
- Familiarity with cloud-based data platforms and tools for data storage and processing.
- Ability to work with various data formats and ensure data quality and consistency.
- Experience in scripting and automation to streamline data workflows.
Additional Information:
- The candidate should have minimum 5 years of experience in Data Engineering.
- This position is based at our Hyderabad 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
About this job
- Posted
- 5 days ago
Listing Details
- Posted
- October 23, 2026
- First seen
- October 26, 2026
- Last seen
- October 26, 2026
Posting Health
- Days active
- 2
- Repost count
- 0
- Trust Level
- 32%
- Scored at
- October 29, 2026
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