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We are looking for a highly skilled Senior Data Streaming Engineer with robust expertise in Apache Flink and Apache Spark to design, build, and optimize enterprise-grade real-time and batch data processing solutions. The ideal candidate will have extensive experience developing streaming applications, event-driven architectures, and high-performance ETL pipelines while ensuring scalability, reliability, and low-latency processing. Responsibilities Design, develop, and maintain scalable real-time data processing pipelines. Build streaming applications using Apache Flink DataStream API, Table API, and Spark Structured Streaming. Develop batch and near real-time ETL workflows. Implement stateful stream processing, event-time processing, watermarking, windowing, checkpointing, and fault-tolerant streaming solutions. Optimize Spark and Flink jobs for performance, scalability, and resource utilization. Process large-scale datasets with high throughput and low latency. Collaborate with architects, data engineers, and business teams to deliver enterprise data solutions. Implement monitoring, logging, alerting, and troubleshooting mechanisms. Ensure data quality, governance, and security best practices. Required Skills 810 years of Data Engineering experience. Robust hands-on expertise in Apache Flink: DataStream API Table API SQL API Stateful Stream Processing Event-Time Processing Windowing Watermarks Checkpointing Fault Tolerance Solid expertise in Apache Spark: Spark Core Spark SQL Structured Streaming Experience developing high-volume ETL pipelines. Strong understanding of distributed computing concepts. Experience with performance tuning and optimization. Good programming skills in Java, Scala, or Python. Preferred Skills Kafka or Azure Event Hubs Azure, AWS, or GCP Docker & Kubernetes CI/CD implementation Data Lakes Microservices Architecture Agile development Skills: etl,apache spark,flink,pipelines .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.