Data Engineer

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

Job summary

Accenture in India is seeking a Data Engineer to design, develop, and maintain data solutions for generation, collection, and processing. You will create data pipelines and ensure data quality across systems.

The role requires a minimum of 3 years of experience with AWS Glue and 15 years of full-time education, involving collaboration with cross-functional teams to optimize data workflows and support organizational data needs.

Qualifications

• 15 years of full-time education required.
• Minimum 3 years of experience in data engineering or related field.
• Proficiency in AWS Glue required.

Responsibilities

• Perform independently and become an SME.
• Participate in team discussions.
• Provide solutions to work-related problems.
• Collaborate with cross-functional teams to design scalable data solutions.
• Monitor and optimize data pipelines for reliability.
• Document data processes and workflows.
• Mentor junior team members.

Skills

AWS Glue

ETL tools

Data pipelines

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 Glue

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 and ensuring the seamless migration and deployment of data across various systems. The position requires continuous attention to data quality and the implementation of extract, transform, and load processes to support organizational data needs. Collaboration with different teams to optimize data workflows and troubleshoot any issues is also a key part of the daily routine.

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 optimize data pipeline performance to ensure reliability and efficiency.
• Document data processes and workflows to maintain clarity and support knowledge sharing.
• Assist junior team members by providing guidance and support in their tasks.

Professional & Technical Skills:

• Must To Have Skills: Proficiency in AWS Glue.
• Experience with cloud-based data integration and ETL tools.
• Strong understanding of data pipeline architecture and data warehousing concepts.
• Ability to troubleshoot and resolve data processing issues effectively.
• Familiarity with scripting languages for automation and data manipulation.
• Knowledge of data governance and security best practices.

Additional Information:

• The candidate should have minimum 3 years of experience in AWS Glue.
• This position is based at our PDC2C - SEZ office.
• A 15 years full time education is required.