Senior Data Engineer ( Hadoop Ecosystem)

Minumum 5 years of experince in Data Engineering. Design, develop, and maintain robust data pipelines in Hadoop and related ecosystems, ensuring data reliability, scalability, and performance. Implement data ETL processes for batch and streaming analytics requirements. Optimize and troubleshoot distributed systems for ingestion, storage, and processing. Collaborate with data engineers, analysts, and platform engineers to align solutions with business needs. Ensure data security, integrity, and compliance throughout the infrastructure. Maintain documentation and contribute to architecture reviews. Participate in incident response and operational excellence initiatives for the data warehouse. Continuously learn mindset and apply new Hadoop ecosystem tools and data technologies. Requirements Proficiency in Hadoop ecosystems such as Spark, HDFS, Hive, Iceberg, Spark SQL. Extensive experience with Apache Kafka, Apache Flink, and other relevant streaming technologies. Proven ability to desig...