Data Engineer
Full Time
full-time
8 Sep 2025
Verified by Turrior
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
78 / 100
Offer value
The role has substantial overlap with the previous data engineer position, geared towards experience with specific tools.
- Expanding opportunities in data engineering
- Chance to work with innovative data tools and methodologies
- Collaborative, high-tech work environment
Pros
- Strong market demand for professionals with data engineering skills
- Possibility to work with advanced data tools and technologies
- Opportunities for collaboration across teams
Cons
- Limited details on overall compensation
- Requires familiarity with specific technologies like Python and Google BigQuery
- Possibility of work-related stress with tight deadlines
Who it's for
Mid to senior-level • On-site in Mumbai
Good fit
- Mid-level data engineers with proficiency in ETL and Python
- Candidates seeking hands-on experience in data analytics
- Professionals eager to work with leading data technologies
Not recommended for
- Entry-level candidates without relevant skills
- Those unfamiliar with data engineering tools
- Individuals seeking only remote job opportunities
Motivation fit
Desire to innovate in data processing and analysisInterest in working within data-driven environmentsEagerness to improve technical skills and expertise
Key skills
Deep understanding of data engineering principlesProficient in Python and ETL processesAbility to manage large datasets
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.
