Data Engineer - PySpark/Scala
Nasugroup • Remote, Remote • Posted July 09, 2026
About the Role
Job Description :
We are looking for a Data Engineer with strong hands-on experience in building scalable data pipelines and distributed data processing systems using PySpark and Scala. The role involves working on large datasets, developing ETL/ELT workflows, and optimizing Spark-based applications for performance and reliability. Responsibilities :
- Develop and maintain scalable data pipelines using PySpark and Scala
- Build ETL/ELT workflows for large-scale data processing
- Work with Apache Spark for batch and streaming data processing
- Optimize Spark jobs for performance, memory usage, and cost efficiency
- Design and implement data transformations and data models
- Integrate data from multiple sources into data lakes or warehouses
- Ensure data quality, reliability, and consistency across pipelines
- Troubleshoot and resolve production issues in data processing systems Required Skills :
- Strong experience in PySpark and Scala
- Hands...
We are looking for a Data Engineer with strong hands-on experience in building scalable data pipelines and distributed data processing systems using PySpark and Scala. The role involves working on large datasets, developing ETL/ELT workflows, and optimizing Spark-based applications for performance and reliability. Responsibilities :
- Develop and maintain scalable data pipelines using PySpark and Scala
- Build ETL/ELT workflows for large-scale data processing
- Work with Apache Spark for batch and streaming data processing
- Optimize Spark jobs for performance, memory usage, and cost efficiency
- Design and implement data transformations and data models
- Integrate data from multiple sources into data lakes or warehouses
- Ensure data quality, reliability, and consistency across pipelines
- Troubleshoot and resolve production issues in data processing systems Required Skills :
- Strong experience in PySpark and Scala
- Hands...