Data Engineer
Full Time
full-time
8 Sep 2025
Verified by Turrior
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
78 / 100
Offer value
Role offers substantial learning opportunities but requires specific technical knowledge and experience.
- Growing data engineering roles in the industry
- Collaboration and learning in a fast-paced setting
- Opportunity to work with emerging technologies
Pros
- Strong demand for data engineers in the current job market
- Exposure to various data tools and technologies
- Collaborative environment with learning opportunities
Cons
- Limited clarity on salary structure
- Requires strong knowledge in specific tools (e.g., Google BigQuery)
- Potentially high-stress work environment with tight deadlines
Who it's for
Mid to senior-level • On-site in Mumbai
Good fit
- Mid-level data engineers with ETL and Python expertise
- Candidates interested in data analytics and engineering
- Professionals eager to work with new technologies
Not recommended for
- Newcomers to data engineering
- Those without experience with data tools
- Individuals looking for remote-only roles
Motivation fit
Interest in developing data processing solutionsDesire to work in a fast-paced data-driven environmentCommitment to enhancing technical skills in analytics
Key skills
Data engineeringPython programmingETL processes
Score: 78/100 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, Python (Programming Language), Data Building Tool
Good to have skills : NA
Minimum 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 migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting any issues that arise in the data flow and processing stages. 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. - Develop and optimize data pipelines to ensure efficient data processing and retrieval. - Monitor and maintain data quality standards across all data solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google BigQuery, Python (Programming Language), Data Building Tool. - Strong experience in designing and implementing ETL processes. - Familiarity with data warehousing concepts and best practices. - Ability to work with large datasets and perform data analysis. - Experience in using data visualization tools to present data insights. Additional Information: - The candidate should have minimum 5 years of experience in Google BigQuery. - This position is based at our Mumbai office. - 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, Python (Programming Language), Data Building Tool
Good to have skills : NA
Minimum 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 migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting any issues that arise in the data flow and processing stages. 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. - Develop and optimize data pipelines to ensure efficient data processing and retrieval. - Monitor and maintain data quality standards across all data solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google BigQuery, Python (Programming Language), Data Building Tool. - Strong experience in designing and implementing ETL processes. - Familiarity with data warehousing concepts and best practices. - Ability to work with large datasets and perform data analysis. - Experience in using data visualization tools to present data insights. Additional Information: - The candidate should have minimum 5 years of experience in Google BigQuery. - This position is based at our Mumbai office. - A 15 years full time education is required.
