Job Description - Build, maintain, and optimize ETL/ELT pipelines for ingesting, transforming, and processing data. - Ensure data pipelines are scalable, reliable, and efficient. - Design and implement data models, warehouses, and lakehouse architectures. - Optimize data storage solutions using relational (SQL) and NoSQL databases. - Work with big data technologies like Spark, Hadoop, and Kafka for large-scale data processing. - Deploy and manage data solutions on cloud platforms (AWS, Azure, G…