Data Engineer

Accenture in India; Navi Mumbai; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

Accenture in India seeks a Data Engineer to design, develop and maintain data solutions for data generation, collection, and processing. You will create data pipelines, ensure data quality and implement ETL processes to migrate and deploy data across systems.

The role requires minimum 3 years of experience with AWS BigData and a 15 years education, based at MDC5C - SEZ, Navi Mumbai.

Qualifications

• Must have AWS BigData experience.
• Experience designing scalable data pipelines and ETL processes.
• Strong knowledge of data storage solutions and processing frameworks.
• Ability to optimize data workflows for performance and reliability.
• Familiarity with cloud-based data services and infrastructure management.
• Understanding of data quality assurance and validation techniques.

Responsibilities

• Expected to perform independently and become an SME.
• Active participation in team discussions.
• Contribute solutions to work-related problems.
• Collaborate with cross-functional teams to understand data requirements and deliver scalable data solutions.
• Monitor and troubleshoot data pipelines to ensure reliability and performance.
• Document data processes and workflows to maintain clarity and support knowledge sharing.
• Assist junior team members in understanding project requirements and technical challenges.

Skills

AWS BigData

Data pipelines

ETL processes

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 : AWS BigData

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, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. This role includes creating efficient data pipelines to facilitate smooth data flow, ensuring the accuracy and quality of data throughout its lifecycle, and implementing processes to extract, transform, and load data across various systems. The position requires continuous monitoring and optimization of data workflows to support organizational needs and enable seamless data migration and deployment.

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 data solutions.
• Monitor and troubleshoot data pipelines to ensure reliability and performance.
• Document data processes and workflows to maintain clarity and support knowledge sharing.
• Assist junior team members in understanding project requirements and technical challenges.

Professional & Technical Skills:

• Must To Have Skills: Proficiency in AWS BigData.
• Experience with designing and implementing scalable data pipelines and ETL processes.
• Strong knowledge of data storage solutions and data processing frameworks.
• Ability to optimize data workflows for performance and reliability.
• Familiarity with cloud-based data services and infrastructure management.
• Understanding of data quality assurance and validation techniques.

Additional Information:

• The candidate should have minimum 3 years of experience in AWS BigData.
• This position is based at our MDC5C - SEZ office.
• A 15 years full time education is required.