Data Engineer
Full Time
full-time
22 Aug 2025
Job Opportunity at Accenture
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
75 / 100
Offer value
The job offers a structured role in data engineering within a respected firm, but demands a significant prior experience and specific skills that may limit candidate pool.
- Requires significant experience in data engineering (7.5+ years)
- Focus on career growth and mentorship opportunities
- Work on complex data solutions with advanced technologies
Pros
- Opportunity to work with cutting-edge technologies like Apache Spark.
- Solid career development options within a leading organization.
- Collaborative work environment encouraging cross-functional teamwork.
Cons
- High experience requirements (minimum 7.5 years in Apache Spark).
- Potential for high-pressure situations due to project deadlines.
- Limited visibility of compensation details.
Who it's for
Mid to Senior Level • On-site
Good fit
- Professionals with solid experience in data engineering
- Candidates looking to grow in a reputable company
- Data specialists eager to enhance their skills
Not recommended for
- New graduates or those without relevant experience
- Individuals preferring fully remote roles
- Candidates not open to collaborative work dynamics
Motivation fit
Desire to work with large datasets and contribute to data-driven decision-makingInterest in advancing technical skills in data processingWillingness to engage in a dynamic work environment
Key skills
Data pipeline architectureETL processesTeam leadership and mentoringData quality frameworks
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 : Apache Spark
Good to have skills : NA
Minimum 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. Professional & Technical Skills: - Must To Have Skills: Proficiency in Apache Spark. - Strong understanding of data pipeline architecture and design. - Experience with ETL processes and data integration techniques. - Familiarity with data warehousing concepts and technologies. - Knowledge of data quality frameworks and best practices. Additional Information: - The candidate should have minimum 7.5 years of experience in Apache Spark. - This position is based in Chennai. - 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 : Apache Spark
Good to have skills : NA
Minimum 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. Professional & Technical Skills: - Must To Have Skills: Proficiency in Apache Spark. - Strong understanding of data pipeline architecture and design. - Experience with ETL processes and data integration techniques. - Familiarity with data warehousing concepts and technologies. - Knowledge of data quality frameworks and best practices. Additional Information: - The candidate should have minimum 7.5 years of experience in Apache Spark. - This position is based in Chennai. - A 15 years full time education is required.
