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.