Data Engineer

Accenture in India; Kolkata District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Accenture in India is seeking a Data Engineer to design, develop and maintain data solutions that support data generation, collection, and processing. You will build data pipelines, ensure data quality and implement ETL processes to migrate data across systems at our Pune office.

The role requires minimum 3 years of experience in Data Engineering, with expertise in Databricks and PySpark. A 15-year full-time education is required, and you will collaborate with cross-functional teams to deliver

Qualifications

• Must have 3+ years of experience in Data Engineering.
• Proficiency in Databricks Unified Data Analytics Platform and PySpark.
• Knowledge of data storage solutions and data modeling techniques.

Responsibilities

• Independently contribute as SME in data engineering topics.
• Actively participate in team discussions and project planning.
• Provide solutions to data-related problems and requirements.
• Collaborate with cross-functional teams to deliver scalable data solutions.
• Monitor and optimize data pipelines for performance and reliability.
• Document data processes for maintainability and knowledge sharing.

Skills

Data Engineering

Databricks

PySpark

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: Data Engineering, Databricks Unified Data Analytics Platform, PySpark

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, your typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. You will be responsible for creating efficient data pipelines that facilitate smooth data flow and ensure the integrity and quality of data throughout its lifecycle. Your role includes implementing extract, transform, and load processes to enable seamless migration and deployment of data across various systems, contributing to the overall data infrastructure and operational efficiency within the organization.

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 pipelines to ensure high performance and reliability.
• Document data processes and workflows to support knowledge sharing and maintainability.
• Assist junior team members by providing guidance and support in their tasks.

Professional & Technical Skills

• Must To Have Skills: Proficiency in Data Engineering, Databricks Unified Data Analytics Platform, PySpark.
• Strong experience in building and managing scalable data pipelines and workflows.
• Knowledge of data storage solutions and data modeling techniques.
• Familiarity with cloud-based data platforms and distributed computing frameworks.
• Ability to troubleshoot and resolve data-related issues efficiently.
• Experience with performance tuning and optimization of data processing jobs.

Additional Information

• The candidate should have minimum 3 years of experience in Data Engineering.
• This position is based at our Pune office.
• A 15 years full time education is required.