Posted 24 June, 2026
PySpark
NR Consulting - India
Bhubaneswar, Odisha, IN
Full Time
Reference: 26-07440-2220-1
Title: PySpark
Location: Bhubaneswar
Exp: 7+ Yrs
Job Description:
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 solutions.
- Monitor and optimize data workflows to improve performance and reliability.
- Document data processes and maintain clear communication with stakeholders.
- Assist junior team members by sharing knowledge and providing guidance.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in PySpark.
- Experience in 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 for efficiency.
- Familiarity with data storage solutions and data modeling concepts.
- Knowledge of data quality assurance and validation techniques.
Location: Bhubaneswar
Exp: 7+ Yrs
Job Description:
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 solutions.
- Monitor and optimize data workflows to improve performance and reliability.
- Document data processes and maintain clear communication with stakeholders.
- Assist junior team members by sharing knowledge and providing guidance.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in PySpark.
- Experience in 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 for efficiency.
- Familiarity with data storage solutions and data modeling concepts.
- Knowledge of data quality assurance and validation techniques.
