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.
Solid 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 recent technologies; relevant industry certifications are an added advantage.

📌 Senior Big Data Engineer Spark, Scala, Python, Hadoop & Azure For Our Banking Client In Bangalore Bangalore Urban
🏢 Optimum Solutions Pte
📍 Bangalore Urban