Data Engineer (AWS+Pyspark)

5+ 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, ElastiCache, DynamoDB.