Data Engineer
Full Time
full-time
12 Nov 2025
Verified by Turrior
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
76 / 100
Offer value
Moderate value tied to the increasing demand for data engineering, with noted clarity in responsibilities despite unspecified compensation.
- Growing field with high demand for data engineers
- Clear responsibilities and expectations outlined
- No specified salary details available
- Experience requirements might limit fresh talent
Pros
- Rising necessity for data engineering skills within enterprises.
- Clear articulation of job responsibilities and expectations.
- Possibility for collaboration with various teams.
Cons
- Missing compensation details may deter some candidates.
- Experience thresholds may limit newer professionals.
- Pressure to ensure data quality and management.
Who it's for
Junior to Mid Level • Onsite in Navi Mumbai
Good fit
- Mid-level data engineers with expertise in BigQuery
- Professionals enthusiastic about building data solutions
- Candidates eager to grow in data strategy roles
Not recommended for
- Entry-level applicants without experience
- Those preferring remote working conditions
- Individuals uncomfortable in a dynamic work setting
Motivation fit
Desire to innovate in data processing and lifecycle management.Interest in contributing to data governance and strategies.Aiming to enhance skills in data engineering.
Key skills
Expertise in Google BigQueryTechnical proficiency in ETL processesUnderstanding of data architecture
Score: 76/100 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.
