Big Data Engineer (Java Focused)

We are hiring for a Big Data Engineer (Java). The ideal candidate will have strong expertise in Java and Apache Spark, with proven experience designing and operating large-scale batch data processing systems in cloud environments. Exposure to GCP is highly preferred, along with experience in other cloud platforms such as AWS or Azure. Key requirements include: • Strong hands-on experience in Java for backend and data processing systems • Deep expertise in Apache Spark (Java API) for building robust batch pipelines • Experience working with cloud-based data platforms, preferably GCP (BigQuery, Cloud Storage) • Solid understanding of data formats like Parquet, Avro, and JSON • Strong background in ETL/ELT frameworks, large-scale data processing, and performance optimization • Experience with CI/CD practices and secure data handling • Good understanding of data modeling, OLTP vs OLAP concepts, and layered data architecture • Ability to design scalable, reliable, and maintainable data platforms In this role, you will: • Own and drive the architecture of Java and Spark-based data platforms • Act as a technical leader guiding design, best practices, and implementation • Collaborate with cross-functional teams including cloud, security, and enterprise architecture • Mentor engineering teams and contribute to overall platform maturity • Ensure performance, scalability, reliability, and cost efficiency of solutions. Experience with GenAI-driven development, observability practices, and Spark performance tuning will be an added advantage.