Bigdata Developer with PySpark
Location(s): Pune, Maharashtra, India
INR 1500K-2000K (estimate) Mid-level Full Time
Tasks
- Debug Spark processing issues
- Deploy and operate applications
- Design scalable data processing solutions
- Develop and optimize ETL data pipelines
- Optimize spark performance
- Participate in SDLC using Agile Scrum
- Write Python and Java applications
- Write SQL queries for data validation and manipulation
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agile | Apache Spark | Azure | CI/CD | Cassandra | Cloud platform | DevOps | Elasticsearch | Git | Google Cloud | Google Cloud Platform | Hadoop | Hive | Java | Linux | MongoDB | NoSQL | PySpark | Python | Relational databases | SQL | Scrum | Shell Scripting | Sqoop | Version control
Education
Roles
Big Data Developer | Data Developer | Developer | Engineer | Software Engineer
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