- 8+ years of experience developing high-quality, scalable products and applications.
- Bachelor’s degree in Computer Science, Engineering, or an equivalent discipline is required; a Master’s degree is preferred.
- Robust hands-on experience with Hadoop technologies, including Hive, HDFS, Iceberg, and StarRocks.
- Proficiency in Apache Spark, Scala, Python, and/or Apache Flink, with experience in data processing and distributed computing.
- Experience with Apache Airflow for workflow orchestration and data pipeline management.
- Hands-on experience with Microsoft Azure cloud services and containerization tools such as Docker.
- Strong knowledge of CI/CD pipelines, Azure DevOps (ADO), Maven, Gradle, GitHub, and continuous build processes.
- Understanding of code quality and analysis tools such as SonarQube, along with DevOps best practices.
- Expertise in Spark application design, performance optimization, integration patterns, data analytics, and data-loading techniques.
- Ability to perform resource monitoring, benchmarking, and troubleshooting, while collaborating effectively and adapting to new technologies; relevant industry certifications are an added advantage.

📌 Senior Big Data Engineer (Spark, Scala, Python, Hadoop & Azure) for our banking client in Bangalore (Karnataka)
🏢 Optimum Solutions Pte
📍 Karnataka