Data Engineer
Full Time
full-time
3 Nov 2025
Verified by Turrior
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
72 / 100
Offer value
Medium value due to growing demand for data roles balanced with medium entry-level experience requirements.
- Growing opportunity in the data engineering field
- Suitable for entry-level candidates interested in data
- Potential for mentorship and team collaboration
- Compensation details are not clearly outlined
Pros
- Increasing relevance of data roles in various industries
- Opportunity to work with modern data warehousing technologies
- Mentorship potential for less experienced colleagues
Cons
- Entry-level position may lead to limitations in advancing
- Potentially unclear salary specifics
- High expectations for performance in a developing field
Who it's for
Entry-Level to Mid • On-site
Good fit
- Junior data engineers or fresh graduates
- Candidates looking to grow in data-focused roles
- Individuals attracted to collaborative work settings
Not recommended for
- Highly skilled data professionals
- Individuals preferring solitary work environments
- Candidates seeking roles without collaborative elements
Motivation fit
Desire to develop data engineering skillsInterest in contributing to data-driven decision makingAspiration to work within a team-focused setting
Key skills
Data ModelingETL Process ImplementationProblem-Solving SkillsCollaboration
Score: 72/100 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 : Snowflake Data Warehouse
Good to have skills : NA
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 effectively migrate and deploy data across various systems, contributing to the overall efficiency and reliability of data management within the organization. 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 in data engineering. - Continuously evaluate and improve data processes to optimize performance and efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse. - Strong understanding of data modeling and database design principles. - Experience with ETL tools and data integration techniques. - Familiarity with cloud platforms and services related to data storage and processing. - Knowledge of data governance and data quality best practices. Additional Information: - The candidate should have minimum 7.5 years of experience in Snowflake Data Warehouse. - 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 : Snowflake Data Warehouse
Good to have skills : NA
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 effectively migrate and deploy data across various systems, contributing to the overall efficiency and reliability of data management within the organization. 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 in data engineering. - Continuously evaluate and improve data processes to optimize performance and efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse. - Strong understanding of data modeling and database design principles. - Experience with ETL tools and data integration techniques. - Familiarity with cloud platforms and services related to data storage and processing. - Knowledge of data governance and data quality best practices. Additional Information: - The candidate should have minimum 7.5 years of experience in Snowflake Data Warehouse. - This position is based at our Bengaluru office. - A 15 years full time education is required.
