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AWS (Pyspark) Engg.
3 months ago
4+ years of overall IT experience, which includes hands on experience in Big Data technologies.
- Mandatory - Hands on experience in Python and PySpark.
- Build pySpark applications using Spark Dataframes in Python using Jupyter notebook and PyCharm(IDE).
- Worked on optimizing spark jobs that processes huge volumes of data.
- Hands on experience in version control tools like Git.
- Worked on Amazon’s Analytics services like Amazon EMR, Amazon Athena, AWS Glue.
- Worked on Amazon’s Compute services like Amazon Lambda, Amazon EC2 and Amazon’s Storage service like S3 and few other services like SNS.
- Experience/knowledge of bash/shell scripting will be a plus.
- Has built ETL processes to take data, copy it, structurally transform it etc. involving a wide variety of formats like CSV, TSV, XML and JSON.
- Experience in working with fixed width, delimited , multi record file formats etc.
