Posted:4 days ago|
Platform:
On-site
Full Time
D as provided below
• 8+ 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.
• 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.
• Good to have knowledge of datawarehousing concepts – dimensions, facts, schemas- snowflake, star etc.
• Have worked with columnar storage formats- Parquet,Avro,ORC etc. Well versed with compression techniques – Snappy, Gzip.
• Good to have knowledge of AWS databases (atleast one) Aurora, RDS, Redshift, ElastiCach
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