Data Engineer
Full Time
full-time
3 Oct 2025
Verified by Turrior
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
80 / 100
Offer value
Strong opportunity for seasoned data engineers focusing on practical data solutions and integration within a reputable organization.
- Challenging data engineering position at Accenture
- Use of Google BigQuery for data management solutions
- Team-centric work environment fostering collaboration
- Requires extensive experience and technical knowledge
Pros
- Dynamic opportunity to build and maintain complex data systems
- Innovation driven by new technologies and methods
- Significant team collaboration for enhanced project outcomes
Cons
- High experience threshold may hinder application flow
- Potential for demanding schedule especially during project phases
- Limited visibility on salary and bonus structures
Who it's for
Mid to Senior • On-site
Good fit
- Data engineers with extensive practical experience
- Professionals comfortable with Google BigQuery
- Individuals who enjoy collaborative problem-solving
Not recommended for
- New entrants into the data engineering field
- Candidates unwilling to work in a hands-on capacity
- Individuals not drawn to technical challenges
Motivation fit
Desire to enhance data processing capabilitiesInterest in contributing to team lead roles or mentoringWillingness to adapt to fast-evolving tech environments
Key skills
Google BigQuery knowledgeData pipeline design and implementationCollaborative team skills
Score: 80/100 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 7.5 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. You will collaborate with cross-functional teams to understand their data needs and provide innovative solutions that enhance data accessibility and usability. 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 ensure efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google BigQuery. - Strong experience with data modeling and database design. - Familiarity with ETL tools and data integration techniques. - Knowledge of SQL and data querying languages. - Experience with cloud platforms and data warehousing solutions. Additional Information: - The candidate should have minimum 7.5 years of experience in Google BigQuery. - This position is based in Mumbai. - 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 7.5 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. You will collaborate with cross-functional teams to understand their data needs and provide innovative solutions that enhance data accessibility and usability. 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 ensure efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google BigQuery. - Strong experience with data modeling and database design. - Familiarity with ETL tools and data integration techniques. - Knowledge of SQL and data querying languages. - Experience with cloud platforms and data warehousing solutions. Additional Information: - The candidate should have minimum 7.5 years of experience in Google BigQuery. - This position is based in Mumbai. - A 15 years full time education is required.
