Data Engineer
Full Time
full-time
25 Oct 2025
Verified by Turrior
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
76 / 100
Offer value
Medium to high value due to the increasing demand for skilled data engineers and the company's solid reputation.
- Engage in significant data management projects
- Work in a well-established company with a strong reputation
- Opportunities for career development and skill enhancement
Pros
- Opportunity to work with modern data technologies
- Involvement in impactful data projects
- Strong support for career advancement and skill development
Cons
- High demand may lead to increased pressure
- Vagueness on salary could deter applications
- Potential for complex project requirements
Who it's for
Mid/Senior • On-site in Bengaluru
Good fit
- Data engineers experienced in analytics and ETL processes
- Professionals ready to work on large-scale data initiatives
- Individuals seeking growth in a collaborative environment
Not recommended for
- Entry-level professionals without relevant experience
- Those seeking fully remote work
- Candidates averse to fast-paced project work
Motivation fit
Desire to develop advanced data solutionsInterest in collaborative problem-solving in dataWillingness to mentor and support junior colleagues
Key skills
Data AnalyticsETL ProcessesBig Data TechnologiesCloud Computing
Score: 76/100 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 Analytics
Good to have skills : Machine Learning
Minimum 7.5 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 their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of 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 enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analytics. - Good To Have Skills: Experience with Machine Learning. - Strong understanding of data modeling and database design principles. - Experience with data warehousing solutions and big data technologies. - Proficiency in programming languages such as Python or SQL for data manipulation. - Familiarity with cloud platforms and services for data storage and processing. Additional Information: - The candidate should have minimum 7.5 years of experience in Data Analytics. - 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 Analytics
Good to have skills : Machine Learning
Minimum 7.5 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 their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of 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 enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analytics. - Good To Have Skills: Experience with Machine Learning. - Strong understanding of data modeling and database design principles. - Experience with data warehousing solutions and big data technologies. - Proficiency in programming languages such as Python or SQL for data manipulation. - Familiarity with cloud platforms and services for data storage and processing. Additional Information: - The candidate should have minimum 7.5 years of experience in Data Analytics. - This position is based at our Bengaluru office. - A 15 years full time education is required.
