Job Description

Responsibilities Maintain and improve data pipeline performance. Build data products for batch and real-time business needs. Create and track metrics for analytics. Troubleshoot and fix data-related issues. Stay updated with new data engineering tools and trends. Optimize data pipelines for better performance and reliability. Ensure data quality and integrity. Work with cross-functional teams to integrate data solutions. Advise engineering teams on data practices. Requirements Hands-on experience with Data Streaming technologies (Kafka, Flink). Strong expertise in Data Warehousing and building scalable solutions. Proficient in NoSQL (e.g., HBase) and distributed storage systems like HDFS. Experience with real-time and batch data processing pipelines. Familiar with cloud platforms (AWS, GCP, Azure). Perks and Benefits Medical Insurance Internet Reimbursement Flexible working hours