Data Engineer
Full Time
full-time
13 Nov 2025
Verified by Turrior
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
78 / 100
Offer value
Valuable position due to the growing importance of data management, paired with the reputation of the employer, but less competitive compared to specialized roles.
- Key role in the growing field of data management.
- Collaboration with technology teams to enhance processes.
- Focus on improving data quality and efficiency.
- Requires 3+ years of relevant experience.
Pros
- Strong demand for data engineers within various industries.
- Collaboration opportunities with cross-functional teams.
- Ability to shape data architecture and processes.
Cons
- Average compensation estimations compared to other tech roles.
- A less defined growth trajectory within data engineering.
- Focus on specific tools may restrict broader career development.
Who it's for
Mid-level • On-site
Good fit
- Data engineers and IT professionals.
- Individuals looking to expand their experience in data management.
- Candidates who thrive in team-oriented settings.
Not recommended for
- New graduates without practical experience.
- Candidates uninterested in technical data roles.
- Individuals seeking fully remote opportunities.
Motivation fit
Interest in data architecture and improving data workflows.Desire to work in a fast-paced, data-driven environment.Motivated by opportunities to contribute directly to business outcomes.
Key skills
Data modeling and ETL processesProficiency in data building toolsProblem-solving in data quality issuesCross-departmental communication
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 : Data Building Tool
Good to have skills : Snowflake Data Warehouse
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 migrate and deploy data across various systems. You will collaborate with team members to enhance data workflows and contribute to the overall efficiency of data management within the organization. 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 optimization of data processes to enhance performance and reliability. - Collaborate with cross-functional teams to gather requirements and deliver effective data solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Building Tool. - Good To Have Skills: Experience with Snowflake Data Warehouse. - Strong understanding of data modeling and database design principles. - Experience with ETL tools and data integration techniques. - Familiarity with data quality frameworks and best practices. Additional Information: - The candidate should have minimum 3 years of experience in Data Building Tool. - This position is based at our Bengaluru 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 : Data Building Tool
Good to have skills : Snowflake Data Warehouse
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 migrate and deploy data across various systems. You will collaborate with team members to enhance data workflows and contribute to the overall efficiency of data management within the organization. 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 optimization of data processes to enhance performance and reliability. - Collaborate with cross-functional teams to gather requirements and deliver effective data solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Building Tool. - Good To Have Skills: Experience with Snowflake Data Warehouse. - Strong understanding of data modeling and database design principles. - Experience with ETL tools and data integration techniques. - Familiarity with data quality frameworks and best practices. Additional Information: - The candidate should have minimum 3 years of experience in Data Building Tool. - This position is based at our Bengaluru office. - A 15 years full time education is required.
