About this role
Data Engineer (AWS + pySpark)
• Having 4-5 yrs years of relevant 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 etc. Well versed with compression techniques – Snappy, Gzip. • Good to have knowledge of AWS databases (atleast one) Aurora, RDS, Redshift, ElastiCache, DynamoDB.am