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Virtusa
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Pyspark Data Engineer

Pyspark Data Engineer

Virtusa

7 - 12 years

4 - 8 Lacs

bengaluru

Posted:1 week ago| Platform:

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Skills Required

data engineer hive python github pyspark data warehousing distributed computing sql data quality git spark shell devops linux jenkins debugging bash shell scripting agile hadoop big data etl bash scripting architecture

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job description

Minimum 5+ years of development and design experience in experience as Data Engineer

Experience on Big Data platforms and distributed computing

(e.g. Hadoop, Map/Reduce, Spark, HBase, Hive)

Experience in data pipeline software engineering and best practice in python (linting, unit tests, integration tests, git flow/pull request process, object-oriented development, data validation, algorithms and data structures, technical troubleshooting and debugging, bash scripting )

Experience in Data Quality Assessment (profiling, anomaly detection) and data documentation (schema, dictionaries)

Experience in data architecture, data warehousing and modelling techniques (Relational, ETL, OLTP) and consider performance alternatives

Used SQL, PL/SQL or T-SQL with RDBMSs production environments, no-SQL databases nice to have

Linux OS configuration and use, including shell scripting.

Well versed with Agile, DevOps and CI/CD principles (GitHub, Jenkins etc.), and actively involved in solving, troubleshooting issues in distributed services ecosystem

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Pyspark Data Engineer