Data Engineer

Accenture in India; Chennai District; On-site; INR 700,000 - 1,100,000; Full time

Job summary

Accenture in India in Chennai is seeking a Data Engineer to design, develop, and maintain data solutions. You will create data pipelines, ensure data quality, and implement ETL processes to migrate data across systems.

The role requires a minimum of 3 years of PySpark experience and a 15-year full-time education. You will work in a team to optimize data workflows and support enterprise data needs from our Chennai office.

Qualifications

• Must To Have Skills: Proficiency in PySpark.
• Experience in building and managing large-scale data processing systems.
• Strong understanding of data pipeline architecture and ETL frameworks.
• Ability to troubleshoot and resolve data-related issues efficiently.
• Familiarity with distributed computing concepts and big data technologies.

Responsibilities

• Expected to perform independently and become an SME.
• Required active participation/contribution in team discussions.
• Contribute in providing solutions to work related problems.
• Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
• Monitor and optimize data workflows to improve performance and reliability.
• Document data processes and maintain clear communication regarding data architecture and pipeline status.
• Assist junior team members by sharing knowledge and providing guidance on best practices.

Skills

PySpark

Education

15 years full time education

Job description

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 : PySpark

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, your typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. You will be responsible for creating efficient data pipelines that facilitate smooth data flow and ensure the integrity and quality of data throughout its lifecycle. Your role includes implementing processes to extract, transform, and load data, enabling seamless migration and deployment across various systems. This position requires a proactive approach to managing data infrastructure and collaborating with different teams to support organizational data needs effectively.

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.
• Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
• Monitor and optimize data workflows to improve performance and reliability.
• Document data processes and maintain clear communication regarding data architecture and pipeline status.
• Assist junior team members by sharing knowledge and providing guidance on best practices.

Professional & Technical Skills:

• Must To Have Skills: Proficiency in PySpark.
• Experience in building and managing large-scale data processing systems.
• Strong understanding of data pipeline architecture and ETL frameworks.
• Ability to troubleshoot and resolve data-related issues efficiently.
• Familiarity with distributed computing concepts and big data technologies.

Additional Information:

• The candidate should have minimum 3 years of experience in PySpark.
• This position is based at our Chennai office.
• A 15 years full time education is required.