Data Engineer
Full Time
full-time
23 Oct 2025
Verified by Turrior
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
75 / 100
Offer value
Moderate value reflecting the importance of an adaptive data engineering role in a recognized company and opportunities for professional development.
- Focus on complete data solutions
- Mentoring roles available
- Reputable organization offering stable opportunities
- Role demands significant experience
Pros
- Involvement in end-to-end data processing projects
- Mentorship responsibilities for growth
- Reputation of working with Accenture
Cons
- High expectations for cross-team collaboration
- Possible high workload during data-heavy projects
- Selection of candidates with proven experience can be rigid
Who it's for
Senior • On-site
Good fit
- Proficient data engineers
- Mentors seeking growth opportunities
- Analytical thinkers passionate about data
Not recommended for
- New entrants without experience
- Solitary workers seeking little interaction
- Professionals unfamiliar with data solutions
Motivation fit
Desire to streamline data operationsInterest in working collaboratively with teamsA passion for mentoring junior engineers
Key skills
Data engineeringETL techniquesProgramming in SQL/PythonData pipeline development
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.
