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Deloitte - Data Engineer - PySpark/Python (2-8 yrs) Pune (Analytics & Data | Engineer in Engin1

Deloitte India

This listing was posted on hirist.

Deloitte - Data Engineer - PySpark/Python (2-8 yrs) Pune (Analytics & Data

Location:
Pune
Description:

Job Description : - Software design, Scala & Spark, PySpark & Python development, automated testing of new and existing components in an Agile, DevOps and dynamic environment Promoting development standards, code reviews, mentoring, knowledge sharing Production support & troubleshooting.- Implement the tools and processes, handling performance, scale, availability, accuracy, and monitoring. - Liaison with BAs to ensure that requirements are correctly interpreted and implemented. - Participation in regular planning and status meetings. - Input to the development process through the involvement in Sprint reviews and retrospectives.- Input into system architecture and design. - Peer code reviews. - Scala development and design using Scala 2.10+ or Java development and design using Java 1.8+. - Experience with most of the following technologies (Apache Hadoop, Scala, Apache Spark, PySpark, Spark streaming, YARN, Kafka, Hive, Python, ETL frameworks, Map Reduce, SQL, RESTFUL API services). - Sound knowledge on working Unix/Linux Platform - Hands-on experience building data pipelines using Hadoop components - Hive, Spark, Spark SQL, PySpark. - Experience with industry standard version control tools (Git, GitHub), automated deployment tools (Ansible & Jenkins) and requirement management in JIRA. - Understanding of big data modelling techniques using relational and non-relational techniques - Experience on Debugging the Code issues and then publishing the highlighted differences to the development team/Architects. Good to have skills : - Experience with time-series/analytics dB's such as ElasticSearch. - Experience with scheduling tools such as Airflow, Control-M. - Understanding or experience of Cloud design patterns - Exposure to DevOps & Agile Project methodology such as Scrum and Kanban. - Experience with developing Hive QL, UDF's for analyzing semi structured/structured datasets. (ref:hirist.tech)
Education/experience:
2 To 5 Years
Company:
Deloitte India
Posted:
May 20 on hirist
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