4Bell Technology
Data Flink(R-1974)
1,000,000.00-1,200,000.00/A
Any Degree
IT (Information Technology)
Contract
Noida,Gurgaon/Gurugram,Hyderabad,Bangalore/Bengaluru,Chennai,Coimbatore,Indore,Kolkata
30-Sep-2026
Apache Flink DataStream API Table API SQL API Spark Core Spark SQL Stateful stream processing Event-time processing
Job Description
Required Technical SkillsApache Flink
• Strong hands-on experience in Apache Flink DataStream API.
• Expertise in Apache Flink Table API & SQL API.
• Experience designing and implementing:
o Stateful stream processing
o Event-time processing
o Windowing operations
o Checkpointing and fault tolerance
o Watermarks and late event handling
• Knowledge of Flink deployment and operations in distributed environments.
Apache Spark
• Strong proficiency in:
o Spark Core
o Spark SQL
o Structured Streaming
• Experience developing high-volume ETL and data transformation pipelines.
• Performance tuning and optimization of Spark jobs.
• Knowledge of Spark execution architecture and resource management.
Responsibilities
• Design, develop, and maintain scalable real-time data processing pipelines.
• Build streaming applications using Apache Flink and Spark Structured Streaming.
• Develop batch and near real-time ETL workflows.
• Process and analyze large-scale datasets with low latency and high throughput.
• Optimize data pipelines for performance, reliability, and scalability.
• Collaborate with Data Engineers, Architects, and Business Stakeholders to deliver data solutions.
• Implement monitoring, logging, and troubleshooting for data processing applications.
• Ensure data quality, governance, and security standards are followed.
• Design, develop, and maintain scalable real-time data processing pipelines.
• Build streaming applications using Apache Flink and Spark Structured Streaming.
• Develop batch and near real-time ETL workflows.
• Process and analyze large-scale datasets with low latency and high throughput.
• Optimize data pipelines for performance, reliability, and scalability.
• Collaborate with Data Engineers, Architects, and Business Stakeholders to deliver data solutions.
• Implement monitoring, logging, and troubleshooting for data processing applications.
• Ensure data quality, governance, and security standards are followed.