Data Engineer

Accenture in India; Gurugram District; On-site; INR 1,800,000 - 4,000,000; Full time

Job summary

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

The role requires 8+ years of AWS experience and a 15-year full-time education background, with emphasis on scalable ETL, data integration, and cross-team collaboration for reliable data workflows.

Qualifications

• Amazon Web Services (AWS) expertise.
• Experience with AWS Glue.
• Minimum 8 years of AWS experience.

Responsibilities

• As 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.
• Lead efforts to optimize data pipeline performance and scalability.
• Mentor junior team members to enhance their technical skills and project contributions.
• Coordinate cross-functional initiatives to align data engineering efforts with business objectives.

Skills

Amazon Web Services (AWS)

AWS Glue

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

Amazon Web Services (AWS)

Good to have skills

AWS Glue

Education and Experience

Minimum 7.5 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. The role includes creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. You will be responsible for implementing extract, transform, and load processes to facilitate seamless data migration and deployment across various systems, collaborating with different teams to optimize data workflows and support organizational data needs.

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.
• Lead efforts to optimize data pipeline performance and scalability.
• Mentor junior team members to enhance their technical skills and project contributions.
• Coordinate cross-functional initiatives to align data engineering efforts with business objectives.

Professional & Technical Skills

• Must To Have Skills: Proficiency in Amazon Web Services (AWS), AWS Glue.
• Good To Have Skills: Experience with AWS Glue.
• Strong knowledge of cloud-based data storage and processing architectures.
• Experience in designing and implementing scalable ETL pipelines.
• Familiarity with data integration and migration strategies within cloud environments.
• Ability to troubleshoot and optimize data workflows for performance and reliability.

Additional Information

• The candidate should have minimum 8 years of experience in Amazon Web Services (AWS).
• This position is based at our DDC5E - SEZ location.
• A 15 years full time education is required.