Data Engineer
Full Time
full-time
3 Oct 2025
Verified by Turrior
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
75 / 100
Offer value
Attractive position due to employer reputation and demand for data engineering skills, but competition may be significant.
- Reputable employer in the tech industry.
- Focus on cloud-based data solutions.
- Opportunities for career advancement in data engineering.
- Requires 3+ years in relevant experience.
Pros
- Work with a reputable global company (Accenture).
- Opportunity to develop expertise in Google BigQuery.
- Broad range of responsibilities with potential for skill enhancement.
Cons
- High competition for roles within large firms.
- Potentially intense workload due to tight deadlines.
- Limited remote working options.
Who it's for
Intermediate • Office-based
Good fit
- Data engineers looking to grow their skills.
- Professionals with a solid foundation in data pipeline technologies.
- Individuals seeking a collaborative work environment.
Not recommended for
- Entry-level candidates without relevant experience.
- Those preferring completely remote work options.
- Individuals uninterested in data-oriented roles.
Motivation fit
Desire to enhance technical data engineering skills.Interest in contributing to data strategy initiatives.Willingness to collaborate with cross-functional teams.
Key skills
Google BigQueryETL processesData warehousingSQLData quality assurance
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 3 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 data requirements and contribute to the overall data strategy of the organization, ensuring that data solutions are efficient, scalable, and aligned with business objectives. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Assist in the design and implementation of data architecture to support data initiatives. - Monitor and optimize data pipelines for performance and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google BigQuery. - Strong understanding of data warehousing concepts and best practices. - Experience with SQL and data modeling techniques. - Familiarity with ETL tools and data integration processes. - Knowledge of cloud platforms and services related to data storage and processing. Additional Information: - The candidate should have minimum 3 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 3 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 data requirements and contribute to the overall data strategy of the organization, ensuring that data solutions are efficient, scalable, and aligned with business objectives. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Assist in the design and implementation of data architecture to support data initiatives. - Monitor and optimize data pipelines for performance and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google BigQuery. - Strong understanding of data warehousing concepts and best practices. - Experience with SQL and data modeling techniques. - Familiarity with ETL tools and data integration processes. - Knowledge of cloud platforms and services related to data storage and processing. Additional Information: - The candidate should have minimum 3 years of experience in Google BigQuery. - This position is based in Mumbai. - A 15 years full time education is required.
