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Job Description & How to Apply Below
-Reviewing, designing, developing ETL jobs to ingest data into Data Lake, load data to data marts;
-extract data to integrate with various business applications.
-Parse unstructured data, semi structured data such XML etc.
-Design and develop efficient Mapping and workflows to load data to Data Marts
-Map XML DTD schema in Python (customized table definitions)
-Write efficient queries and reports in Hive or Impala to extract data on ad hoc basis for data analysis.
-Identify the performance bottlenecks in ETL Jobs and tune their performance by enhancing or redesigning them.
-Responsible for performance tuning of ETL mappings and queries.
-import tables and all necessary lookup tables to facilitate the ETL process required to process daily XML files in addition to processing the very large (multi-terabytes) historical XML data files
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