Location
Remote, Remote, India
Posted
July 09, 2026
Job Description
Role Overview:
As a Senior Spark Developer at our Hyderabad office, you will serve as a technical anchor within our data engineering practice. You will be responsible for designing and implementing high-performance data pipelines that process massive datasets to support critical business intelligence and analytics initiatives.
Working closely with cross-functional teams, including data scientists, product managers, and infrastructure engineers, you will ensure that our data platforms remain resilient, scalable, and optimized for performance. Your work will directly influence how our clients derive actionable insights, ensuring data integrity and accessibility across the enterprise. Key Responsibilities:
- Architect and develop complex ETL pipelines using PySpark and Apache Spark to process large-scale structured and unstructured datasets for downstream analytics.
- Optimize existing data workflows and SQL queries to improve processing efficiency and reduce latency in hi...
As a Senior Spark Developer at our Hyderabad office, you will serve as a technical anchor within our data engineering practice. You will be responsible for designing and implementing high-performance data pipelines that process massive datasets to support critical business intelligence and analytics initiatives.
Working closely with cross-functional teams, including data scientists, product managers, and infrastructure engineers, you will ensure that our data platforms remain resilient, scalable, and optimized for performance. Your work will directly influence how our clients derive actionable insights, ensuring data integrity and accessibility across the enterprise. Key Responsibilities:
- Architect and develop complex ETL pipelines using PySpark and Apache Spark to process large-scale structured and unstructured datasets for downstream analytics.
- Optimize existing data workflows and SQL queries to improve processing efficiency and reduce latency in hi...