Data Engineer



Job Description

  • Job Description
    • Mandatory - Hands on experience in Python and PySpark.
    •  Build pySpark applications using Spark Dataframes in Python using Jupyter notebook and PyCharm(IDE).
    •  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.
    •  Experience/knowledge of bash/shell scripting will be a plus.
    •  Has built ETL processes to take data, copy it, structurally transform it etc. involving a wide variety of formats like CSV, TSV, XML and JSON.
    •  Experience in working with fixed width, delimited , multi record file formats etc.
    •  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.
    •  Hands on experience in tools like Jenkins to build, test and deploy the applications
    •  Awareness of Devops concepts and be able to work in an automated release pipeline environment.
    •  Excellent debugging skills.

Job Details

Experience : 3 To 5
Number Of Vacancies : 10
Job Type : Permanent
Industry Type : IT/Software
Salary : 4 Lac - 8 Lac P.A

Education Summary

UG : Any UG Degree PG : Any PG Degree

Contact Details

Contact Person : NA
Contact Number : 2066074000
e-mailId : careers@zensar.com
Address :
Zensar Technologies Ltd.
Plot #4, MIDC, Off Nagar Road,
Zensar Knowledge Park, Kharadi,
Pune - 411014, Maharashtra, India
Phone: 020-66074000; 020-66057500

Back

Office Location

Central Jakarta No 1234, Jakarta, Indonesia

Similar Jobs