Pyramid Global Technologies | Big Data Engineer

Minimum Qualifications: 5+ years experience working in Data Engineering and Warehousing. 3 - 5 years' experience integrating data into analytical platforms. Experience in ingestion technologies (e.g. Swoop, Flume), processing technologies (Spark/Scala), and storage (e.g. HDFS, HBase, Hive). Experience in data profiling, source-target mappings, ETL development, SQL optimization, testing, and implementation. Expertise in streaming frameworks (Kafka/Spark Streaming/Storm) essential. Experience in building Spark SQL and Spark Data Frame API-based applications. Experience managing structured and unstructured data types. Experience in requirements engineering, solution architecture, design, and development/deployment. Experience in creating big data or analytics IT solutions. Track record of implementing databases and data access middleware and high-volume batch and (near) real-time processing. #J-18808-Ljbffr