- 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 (Bangalore Urban)
🏢 Optimum Solutions Pte
📍 Bangalore Urban