Senior Data Software Engineer (Python & PySpark) - Vice President
SGD 139K-143K (estimate) Senior-level Full Time
Tasks
- Advise and coach developers and analysts
- Build database queries and data models
- Design coding standards for testing and debugging
- Develop ETL and ELT pipelines
- Ensure compliance and manage control risks
- Implement data processing solutions
- Integrate systems enhancements
- Lead application systems analysis
- Optimize Pyspark performance
- Resolve complex business and system issues
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Athena | AWS EMR | AWS Glue | AWS Kinesis | AWS Lambda | AWS Redshift | AWS Step Functions | Amazon DynamoDB | Amazon Kinesis | Amazon S3 | Apache Airflow | Apache Kafka | Apache Spark | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Databricks | Azure Event | Azure Event Hubs | Azure Synapse | Azure Synapse Analytics | CI/CD | Cassandra | Cloud Dataflow | Cloud Dataproc | Cloud PubSub | Cloud Storage | Cloud platform | Data Factory | Data Governance | Data Lake Storage | Data Lineage | Data Warehousing | Data orchestration | Dimensional Modeling | Docker | ELT | ETL | Event Hubs | Git | Google BigQuery | Google Cloud | Google Cloud Dataflow | Google Cloud Dataproc | Google Cloud Platform | Google Cloud PubSub | Google Cloud Storage | Kubernetes | Metadata Management | Microsoft Azure | MongoDB | MySQL | Oracle | PostgreSQL | PySpark | Python | SQL | SQL Server | Snowflake Schema | Star Schema | Step Functions | Synapse Analytics
Education
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