Data Engineer
Full Time
full-time
4 Oct 2025
Verified by Turrior
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
68 / 100
Offer value
Mirroring offerings across the batch, this role offers opportunities for early-career individuals in data engineering without specified salary information.
- Great fit for beginning data engineers
- Mentoring opportunities in a recognized company
- Requires 3 years relevant experience in BigQuery
Pros
- Suitable for early-career applicants in a supportive setting
- Access to valuable mentoring
- Part of a well-known organization
Cons
- Transparency in compensation is missing
- Role expectations can be challenging for newcomers
- High-pressure environment may be a concern
Who it's for
Entry to Mid • On-site
Good fit
- Entry-level data professionals
- Individuals keen on collaborative experiences
- Candidates interested in mentorship
Not recommended for
- Highly experienced data engineers looking for senior roles
- Those seeking only remote work options
- Candidates preferring solo work
Motivation fit
Excitement to learn and grow in a data-centric roleInterest in participating in team collaborationsDesire for structured mentoring and skill development
Key skills
Familiarity with Google BigQueryUnderstanding data processing principlesSQL skillsBasic ETL knowledge
Score: 68/100 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.
