Description

Accenture is hiring a Data Engineer for its Data Engineering, Management and Governance team in Bhubaneswar.

The role focuses on designing, developing, and maintaining data solutions for data generation, collection, and processing. The engineer will build data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems.

The position requires strong PySpark experience along with knowledge of distributed computing, big data frameworks, data storage, data modeling, and data quality practices.

Responsibilities

Design, develop, and maintain data solutions for data generation, collection, and processing.
Build and manage efficient data pipelines and ETL workflows.
Collaborate with cross-functional teams to understand data requirements.
Deliver scalable data engineering solutions.
Monitor and optimize data workflows for performance and reliability.
Troubleshoot and optimize data processing jobs.
Ensure data quality and implement data validation practices.
Document data processes and maintain clear communication with stakeholders.
Contribute solutions to work-related technical problems.
Participate actively in team discussions.
Work independently and develop subject matter expertise.
Share knowledge and provide guidance to junior team members.

Requirements

Minimum 3 years of experience in PySpark.
Proficiency in PySpark is required.
Experience building and managing data pipelines and ETL workflows.
Strong understanding of distributed computing and big data frameworks.
Ability to troubleshoot and optimize data processing jobs.
Familiarity with data storage solutions and data modeling concepts.
Knowledge of data quality assurance and validation techniques.
15 years of full-time education is required.
Willingness to work from the Accenture Bhubaneswar office.

Required Skills

PySpark Python

Description

Responsibilities

Requirements

Required Skills

Accenture

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