Data Engineer

Accenture PLC; Gurugram District; On-site; INR 2,600,000 - 5,500,000; Full time

Job summary

Accenture is seeking a Data Engineer to design, develop, and maintain data solutions for generation, collection, and processing. You will build data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems, collaborating with cross-functional teams.

The role requires strong AWS expertise, including AWS Glue, and at least 8 years of experience, with 15 years of full-time education.

Qualifications

• Proficiency in Amazon Web Services (AWS), with a focus on data storage and processing.
• Experience with AWS Glue and building scalable ETL pipelines.
• Minimum 8 years of experience in AWS-based data engineering.

Responsibilities

• Act as SME, collaborate and guide the team to perform.
• Engage with multiple teams and contribute on key decisions.
• Provide solutions to problems for the immediate team and across teams.
• Lead efforts to optimize data pipeline performance and scalability.
• Mentor junior team members to enhance technical skills and contributions.
• Coordinate cross-functional initiatives to align data engineering with business objectives.

Skills

Amazon Web Services (AWS)

AWS Glue

Education

15 years full time education

Tools

AWS Glue

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

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.

15 years full time education

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.