Data Engineer
Full Time
full-time
3 Nov 2025
Verified by Turrior
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
75 / 100
Offer value
Medium value attributed to leading company culture mixed with organizations' needs for specific technical skills.
- Solid career growth opportunities in a reputable company
- Focus on specialized technical skills in data engineering
- Requires experience with specific tools and platforms
Pros
- Strong career opportunities within Accenture
- Chance to work on innovative data engineering projects
- Exposure to collaboration with cross-functional teams
Cons
- Specific skills required can limit candidate pool
- High standards for performance and independence
- May demand longer working hours to meet project deadlines
Who it's for
Mid to Senior • In-office, limited remote
Good fit
- Mid to senior data engineers with relevant skill sets
- Candidates looking to contribute to innovative data solutions
- Individuals with a passion for data accuracy and quality
Not recommended for
- Beginners in the data engineering field
- Candidates desiring a fully remote position
- Those not comfortable with high-performance demands
Motivation fit
Interest in complex data challenges and cutting-edge technologyDesire to be part of a dynamic work cultureWillingness to engage in innovative data solutions
Key skills
Data managementETL processesProficiency with cloud platformsProblem-solving skills in data contexts
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 : Databricks Unified Data Analytics Platform
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 migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs. Additionally, you will monitor and optimize data workflows to enhance performance and reliability, ensuring that data is accessible and actionable for stakeholders. 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. - Develop and maintain robust data pipelines to support data processing and analytics. - Collaborate with data scientists and analysts to understand data needs and provide appropriate solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Strong understanding of data modeling and database design principles. - Experience with ETL tools and processes for data migration and transformation. - Familiarity with cloud platforms and services related to data storage and processing. - Knowledge of programming languages such as Python or Scala for data manipulation. Additional Information: - The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform. - 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 : Databricks Unified Data Analytics Platform
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 migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs. Additionally, you will monitor and optimize data workflows to enhance performance and reliability, ensuring that data is accessible and actionable for stakeholders. 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. - Develop and maintain robust data pipelines to support data processing and analytics. - Collaborate with data scientists and analysts to understand data needs and provide appropriate solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Strong understanding of data modeling and database design principles. - Experience with ETL tools and processes for data migration and transformation. - Familiarity with cloud platforms and services related to data storage and processing. - Knowledge of programming languages such as Python or Scala for data manipulation. Additional Information: - The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Bengaluru office. - A 15 years full time education is required.
