Data Engineer (AWS + pySpark)
• Having 6+ 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.
• Positive 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 (Hyderabad)
🏢 Zensar
📍 Hyderabad