Data Engineer
Full Time
full-time
3 Oct 2025
Verified by Turrior
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
75 / 100
Offer value
Decent opportunities for career growth with a prominent employer like Accenture, despite lack of details on salary and benefits.
- Strong employer brand (Accenture)
- Focus on leadership and mentoring opportunities
- Requires substantial experience in data engineering (5+ years)
Pros
- Strong brand reputation of Accenture
- Opportunities for mentoring and leadership
- Focus on data management and governance
Cons
- No specific salary information provided
- High competition for roles in data engineering
- Potentially demanding work environment
Who it's for
Mid to Senior • On-site
Good fit
- Experienced data engineers with BigQuery expertise
- Individuals eager to mentor and lead teams
- Those looking to deepen their data management skills
Not recommended for
- Entry-level candidates without relevant technical background
- Professionals seeking only remote work
- Those uninterested in team management roles
Motivation fit
Desire to work in a collaborative and innovative data environmentInterest in mentoring and guiding junior team membersEagerness to enhance skills in data technologies and governance
Key skills
Google BigQuery proficiencyData warehousing conceptsETL developmentSQL and data 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.
