• 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.
• Strong 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 current technologies; relevant industry certifications are an added advantage.
📌 Senior Big Data Engineer (India)
🏢 Optimum Solutions Pte
📍 India
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