Data Engineer

Accenture India Private Limited; Navi Mumbai; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Accenture India Private Limited is seeking a Data Engineer to design, develop, and maintain data solutions supporting data generation, collection, and processing. You will create data pipelines, ensure data quality, and implement ETL processes to migrate data across systems from our Mumbai base.

The role requires proficiency in Google Cloud Platform (GCP) and DevOps, with at least 7.5 years of experience and a 15-year full-time education.

Qualifications

• Must have skills: proficiency in Google Cloud Platform (GCP) and DevOps.
• Experience designing and managing scalable data pipelines and ETL processes.
• Educational qualification: 15 years of full-time education; minimum 7.5 years of experience.

Responsibilities

• SME-level collaboration and team management to perform.
• Responsible for team decisions and engagement with multiple teams.
• Lead development and optimization of data workflows for efficiency and reliability.
• Mentor junior team members to support growth and capabilities.
• Coordinate cross-functional efforts to align data engineering with organizational goals.

Skills

Google Cloud Platform (GCP)

DevOps

Education

15 years full time education

Job description

Data Engineer Project Role

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.

Data Engineer Project Role Description

Must have skills : Google Cloud Platform (GCP), DevOps

Good to have skills : NA

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. This role requires creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The position also involves implementing extract, transform, and load processes to facilitate seamless migration and deployment of data across various systems, enabling smooth data flow and accessibility for organizational 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 the development and optimization of data workflows to improve system efficiency and reliability.
• Mentor junior team members to support their professional growth and enhance team capabilities.
• Coordinate cross-functional efforts to align data engineering initiatives with broader organizational goals.

Professional & Technical Skills

• Must To Have Skills: Proficiency in Google Cloud Platform (GCP), DevOps.
• Strong experience in designing and managing scalable data pipelines and workflows.
• In-depth knowledge of cloud-based data storage and processing services.
• Ability to implement and optimize ETL processes for large-scale data migration and integration.
• Familiarity with automation and continuous integration/continuous deployment practices within cloud environments.
• Experience with monitoring, troubleshooting, and improving data system performance and reliability.

Additional Information

• The candidate should have minimum 7.5 years of experience in Google Cloud Platform (GCP).
• This position is based at our Mumbai office.
• A 15 years full time education is required.