Data Engineer (AWS+Pyspark)

5 years

4 - 6 Lacs

Posted:2 days ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job Description

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.

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