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. Sqoop, 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