Data Engineer
Full Time
full-time
3 Oct 2025
Verified by Turrior
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
75 / 100
Offer value
Maintaining the same standards as the other roles, this position emphasizes the reputation and growth aspects of joining Accenture.
- Excellent opportunity with a recognized firm (Accenture)
- Strong focus on mentorship and collaboration
- Requires solid experience in data engineering (5+ years)
Pros
- Accenture's strong presence offers career advancement
- Facilitates skill development in data pipelines
- Mentorship roles available
Cons
- No indication of salary or benefits
- Highly competitive role within a demanding environment
- Long hours may be expected
Who it's for
Mid to Senior • On-site
Good fit
- Experienced candidates skilled in BigQuery
- Individuals looking for growth within a corporate environment
- Those interested in mentoring junior team members
Not recommended for
- Entry-level applicants without relevant data experience
- Professionals seeking fully remote work opportunities
- Candidates preferring solo tasks
Motivation fit
Interest in enhancing data engineering capabilitiesEager to play a mentoring role within teamsDesire for a career trajectory in data governance management
Key skills
Proficiency in Google BigQueryUnderstanding of ETL processesSQL skillsKnowledge of data modeling and governance
Score: 75/100 AI verified analysis
About the job
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 : Google BigQuery
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, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems, contributing to the overall efficiency and reliability of data management within the organization. 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. - Mentor junior team members to enhance their skills and knowledge. - Continuously evaluate and improve data processes to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google BigQuery. - Strong understanding of data warehousing concepts and architecture. - Experience with ETL tools and data integration techniques. - Familiarity with SQL and database management systems. - Knowledge of data modeling and data governance best practices. Additional Information: - The candidate should have minimum 5 years of experience in Google BigQuery. - This position is based at our Mumbai office. - A 15 years full time education is required.
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 : Google BigQuery
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, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems, contributing to the overall efficiency and reliability of data management within the organization. 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. - Mentor junior team members to enhance their skills and knowledge. - Continuously evaluate and improve data processes to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google BigQuery. - Strong understanding of data warehousing concepts and architecture. - Experience with ETL tools and data integration techniques. - Familiarity with SQL and database management systems. - Knowledge of data modeling and data governance best practices. Additional Information: - The candidate should have minimum 5 years of experience in Google BigQuery. - This position is based at our Mumbai office. - A 15 years full time education is required.
