Data Engineer
Full Time
full-time
3 Oct 2025
Verified by Turrior
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
75 / 100
Offer value
Similar to the previous role, the position offers a solid foundation for data engineering status with Accenture but lacks financial transparency.
- Joining a highly regarded company (Accenture)
- Strong mentorship opportunities in data engineering
- Requires significant experience (5+ years)
Pros
- Prestigious role with a reputable company
- Opportunities for skill enhancement in data solutions
- Potential for cross-team collaborations
Cons
- Absence of clear compensation details
- High expectations and competition
- Long working hours may be a factor
Who it's for
Mid to Senior • On-site
Good fit
- Experienced data engineers with skills in BigQuery
- Individuals looking for growth and mentoring roles
- Data professionals prepared for collaborative projects
Not recommended for
- Candidates without relevant data engineering background
- Those on the lookout for remote-only positions
- Professionals who prefer non-collaborative tasks
Motivation fit
Interest in collaborative data engineering projectsDesire for personal and professional growthPassion for training and developing junior talent
Key skills
Expertise in Google BigQueryUnderstanding of ETL processesProficiency in SQLData governance and modeling knowledge
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.
