Data Engineer
Full Time
full-time
6 Oct 2025
Verified by Turrior
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
80 / 100
Offer value
Valuable position within a leading company, requiring a solid foundation in data engineering and collaboration skills.
- Engagement in data engineering within a leading firm
- Focus on sophisticated data solutions with Google BigQuery
- Collaborative and solution-oriented team environment
- Requires substantial prior experience in data engineering
Pros
- Focus on designing and maintaining critical data pipelines
- Collaborative work environment with cross-functional teams
- Opportunity to work with advanced data solutions
Cons
- High experience requirement (7.5 years) may limit candidate pool
- Possible pressure to meet data quality and delivery deadlines
- Limited information on compensation details
Who it's for
Mid to Senior • On-site
Good fit
- Mid-level to senior data engineers seeking new challenges
- Professionals skilled in Google BigQuery and ETL processes
- Team-oriented individuals wanting to contribute to data solutions
Not recommended for
- Recent graduates without extensive data engineering experience
- Candidates unwilling to engage in teamwork
- Individuals who prefer non-technical roles
Motivation fit
Keen interest in optimizing data processesDesire to work in innovative and agile teamsWillingness to mentor junior staff or peers
Key skills
Google BigQuery expertiseETL processes and toolsCollaboration and team management
Score: 80/100 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 7.5 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. You will collaborate with cross-functional teams to understand their data needs and provide innovative solutions that enhance data accessibility and usability. 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 ensure efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google BigQuery. - Strong experience with data modeling and database design. - Familiarity with ETL tools and data integration techniques. - Knowledge of SQL and data querying languages. - Experience with cloud platforms and data warehousing solutions. Additional Information: - The candidate should have minimum 7.5 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 7.5 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. You will collaborate with cross-functional teams to understand their data needs and provide innovative solutions that enhance data accessibility and usability. 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 ensure efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google BigQuery. - Strong experience with data modeling and database design. - Familiarity with ETL tools and data integration techniques. - Knowledge of SQL and data querying languages. - Experience with cloud platforms and data warehousing solutions. Additional Information: - The candidate should have minimum 7.5 years of experience in Google BigQuery. - This position is based in Mumbai. - A 15 years full time education is required.
