Data Engineer
Full Time
full-time
20 Oct 2025
Verified by Turrior
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
75 / 100
Offer value
Moderate value due to essential data engineering requirement and desirable skill set in analytics. Potential visibility in an established firm.
- Focus on data analytics and development
- Strong career growth opportunities
- Mentorship roles available
- Reputed organization with competitive hiring standards
Pros
- Strong emphasis on data quality and ETL processes
- Mentorship opportunities for junior team members
- Position in a reputed company like Accenture
Cons
- High competition for experienced candidates
- Expectation of significant teamwork and collaboration
- Potential demands of meeting tight deadlines
Who it's for
Senior • On-site
Good fit
- Seasoned data engineers
- Individuals seeking leadership in data-oriented roles
- Professionals with analytical mindset
Not recommended for
- Novices in data engineering
- Candidates lacking teamwork experience
- Individuals looking for remote-only positions
Motivation fit
Desire for collaborative problem solvingInterest in data process optimizationWillingness to engage in hands-on data operations
Key skills
Data analyticsETL processesProgramming in Python or SQLData modeling and design
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 : 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.
