Data Engineer
Tasks
- Build and maintain Spark applications
- Build and optimize batch and streaming data pipelines
- Collaborate with analytics and data science teams
- Debug and troubleshoot Spark job failures
- Develop reusable Spark frameworks libraries and utilities
- Follow code quality testing logging and documentation best practices
- Optimize Spark jobs performance
- Process structured and semi-structured data
- Write production quality Spark code
Perks/Benefits
Skills/Tech-stack
ADLS Gen2 | Apache Airflow | Apache Hadoop | Apache Spark | Azure Data | Azure Data Factory | Azure Databricks | Azure Security | CSV | Data Factory | Data Lake | Data Processing | Delta Lake | Distributed Systems | Git | Hadoop Cloudera | JSON | Java | Parquet | Python | SQL | Scala
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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