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. 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
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