Mid-Level Spark Developer
Tasks
- Build scalable data pipelines
- Develop ETL processes
- Develop backend data processing solutions with Apache Spark
- Gather requirements and deliver data solutions
- Improve data platform processes
- Perform code reviews
- Troubleshoot and debug technical issues
- Use Git for version control
- Write and optimize SQL queries
Perks/Benefits
Skills/Tech-stack
ANSI SQL | Amazon EMR | Apache Hive | Apache Spark | Azure Databricks | ETL | Git | Hive SQL | Java | Power BI | Python | SQL | Scala | Spark SQL
Education
N/A
Roles
Backend | Backend Spark Developer | Data Engineer | Developer | Engineer | Spark Developer
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