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Data Engineer (AWS+Pyspark)_FTE _ Zensar

Diverse Lynx India
  • Location not stated
  • 19 hours ago
  • AWS
  • PySpark
  • Python
  • Git
  • EMR
  • Athena
  • AWS Glue
  • EC2
  • SNS
  • Snowflake
  • Parquet
  • Aurora
  • RDS
  • Redshift
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Total Experience – 5 years
Relevant exp – 4 years
Primary Location: Bangalore and Pune
Bill rate :16 LPA
Data Engineer (AWS + pySpark)
  • Having 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

Data Engineer (AWS+Pyspark)_FTE _ Zensar · Diverse Lynx India

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