Data Engineer
Full Time
full-time
4 Oct 2025
Verified by Turrior
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
68 / 100
Offer value
Role positions itself as a good start for those new to data engineering, although lacking transparent compensation details.
- Good opportunity for developing data engineers
- Mentorship potential in a reputable firm
- Requires at least 3 years of relevant experience
Pros
- Chance for early-career data engineers to gain valuable experience
- Mentoring environment available
- Work in a forward-thinking company
Cons
- Limited salary insights may hinder decision-making for applicants
- Role can be high-pressure in a fast-paced setting
- Less experienced candidates may find high expectations
Who it's for
Entry to Mid • On-site
Good fit
- Entry to mid career data engineers
- Individuals enthusiastic about team collaboration
- Professionals seeking mentorship opportunities
Not recommended for
- Highly experienced data engineers seeking senior roles
- Candidates looking for remote work only
- Those who prefer independent working styles
Motivation fit
Eagerness to learn and grow within a data roleInterest in hands-on experience and team interactionsDesire for mentorship and professional development
Key skills
Basic knowledge of Google BigQueryFamiliarity with data processingSQL understandingExposure to ETL tools
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.
