Pyspark Developer
5 days ago
1. Knowledge of the key phases of software delivery lifecycle and established software development methodologies
2. Must have strong understanding of data architecture, data integration and data management processes, ability to develop transformation logic in Spark-SQL based on dataframes
3. 4 to 7 years of expertise in data and analytics concepts. Big Data, Hadoop, Hive, Impala, Sqoop, oozie (Pyspark, Athena, Presto, Airflow, CLI, Glue) Scala, Cloud concepts
4. AWS based services like SageMaker (AWS/GCP) is a plus.
5. Exposure to DevOps tools (Ansible, Consul, Puppet etc) added advantage.
- Industry
- IT-Software / Software Services
- Functional Area
- IT Software - Application Programming, Maintenance
- Job Role
- Software Developer
- Job Type
- Permanent
- UG Qualification
- B.Tech/B.E - Computers
- PG Qualification
- Any Post Graduate - Any Specialization
- Doctorate
- Doctorate Not Required - None
-
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