Vacancy Description
Responsibilities
- Develop, review and analyze complex, large-scale BigData/Cloud (AWS) solutions for tactical and strategic business objectives, requiring in-depth evaluation of existing software applications.
- Build and maintain code to populate HDFS and Hadoop with log events from real-time data feeds or data loaded from SQL production systems.
- Assess the impact of external production system changes to Big Data systems on Spark and implement changes to the ETL to ensure consistent and accurate data flows.
- Build Hive scripts to ingest millions of records and perform performance tuning of these scripts.
- Use Sqoop to populate data from RDBMS to HDFS and develop Hive/Pig scripts to perform analysis.
- Design and develop UNIX shell scripts as part of the ETL process to automate data loading and pulling.
- Deliver advanced and complex reporting solutions including dashboards and standardized reporting using Power BI. ...
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