Required Technical Skills

- Apache 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

- Solid 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.

Location - Remote, Delhi NCR, Bangalore, Chennai, Pune, Kolkata, Ahmedabad, Mumbai, Hyderabad

📌 Data Engineer / Senior Data Streaming Engineer ( Apache Flink & Spark) (Bengaluru)
🏢 Jero Technologies
📍 Bengaluru