Data Engineer
Full Time
full-time
8 Sep 2025
Verified by Turrior
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
75 / 100
Offer value
Moderate value level primarily due to demand for data engineering skills, but it requires specific technological proficiency which may limit candidate pool.
- Engagement with leading data engineering technologies
- Opportunity for collaborative team projects
- Competitive advantage in a robust job market
- Specific skill demands may limit candidate diversity
Pros
- Opportunity to work with leading technologies like Google BigQuery and Python.
- Engagement with cross-functional teams encourages collaborative skill development.
- Potential for career advancement in a reputable company (Accenture).
Cons
- High competition due to the demand for proven data engineering experience.
- Expectations for a 5+ year commitment to technologies may deter some candidates.
- Limited salary information may affect candidate interest.
Who it's for
Mid-level to Senior • On-site in Mumbai
Good fit
- Experienced data engineers
- Professionals with skills in Google BigQuery and data pipelines
- Individuals looking for growth in a technology-driven environment
Not recommended for
- New entrants to the data field
- Those lacking relevant technical expertise
- Candidates expecting remote flexibility
Motivation fit
Desire to enhance data engineering capabilities.Interest in working within a dynamic technology environment.Willingness to collaborate with cross-disciplinary teams.
Key skills
Data engineering and ETL processesProficiency in Google BigQueryPython programmingData quality management
Score: 75/100 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.
