Data Engineer

Accenture in India; Bengaluru; On-site; INR 2,400,000 - 3,800,000; Full time

Job summary

Accenture in India is seeking a Data Engineer to design, develop, and maintain data solutions for data generation, collection, and processing. The role focuses on creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems.

Based in Bengaluru, the position requires at least 7.5 years of experience and 15 years of full-time education. The candidate should demonstrate strong PySpark skills and experience building scalable ETL pipelines,

Qualifications

• Must have PySpark proficiency.
• Experience in building and managing scalable ETL pipelines.
• In-depth knowledge of data processing frameworks and distributed computing.
• Ability to troubleshoot and optimize complex data workflows.
• Familiarity with cloud-based data storage and processing platforms.
• Experience with data quality assurance and validation techniques.

Responsibilities

• SME collaboration and team management.
• 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 support their professional growth and development.
• Coordinate cross-functional communication to align data engineering efforts with business objectives.

Skills

PySpark

ETL Pipelines

Distributed Computing

Troubleshooting

Cloud Platforms

Data Quality

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 :

PySpark

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. The role includes creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The Data Engineer is responsible for implementing processes that enable smooth migration and deployment of data across various systems, collaborating with different teams to support organizational data needs and optimize data workflows.

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 support their professional growth and development.
• Coordinate cross-functional communication to align data engineering efforts with business objectives.

Professional & Technical Skills:

• Must To Have Skills: Proficiency in PySpark.
• Strong experience in building and managing scalable ETL pipelines.
• In-depth knowledge of data processing frameworks and distributed computing.
• Ability to troubleshoot and optimize complex data workflows.
• Familiarity with cloud-based data storage and processing platforms.
• Experience with data quality assurance and validation techniques.

Additional Information:

• The candidate should have minimum 7.5 years of experience in PySpark.
• This position is based at our Bengaluru office.
• A 15 years full time education is required.