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.
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