Job Description:

· 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 solution

· Track record of implementing databases and data access middleware and high-volume batch and (near) real-time processing.