Data Engineer
Full Time
full-time
4 Nov 2025
Certified by Turrior
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
75 / 100
Offer value
Moderate value due to the brand recognition of Accenture and competitive industry requirements, but limited visibility on salary can deter some candidates.
- Work with industry-leading technologies (Google BigQuery).
- Potential for team leadership development.
- Requires significant experience (7.5+ years).
Pros
- Opportunity to work with cutting-edge data technologies like Google BigQuery.
- Mentorship opportunities for junior team members.
- Engagement with cross-functional teams enhances teamwork skills.
Cons
- High experience requirement (7.5+ years).
- Limited information on compensation.
- Intensive responsibilities requiring strong decision-making under pressure.
Who it's for
Mid to Senior • On-site in Navi Mumbai
Good fit
- Data engineers with substantial experience.
- Individuals looking to mentor and lead teams.
- Professionals experienced with ETL processes.
Not recommended for
- Junior candidates without the necessary experience.
- Those seeking remote working arrangements.
- Candidates averse to mentoring responsibilities.
Motivation fit
Desire to innovate in data solutions.Interest in collaboration across teams.Aspiration for career advancement in a recognized firm.
Key skills
Data engineering and architecture.Experience with Google BigQuery and ETL tools.Strong SQL and data modeling skills.
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 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.
