Principal Software Engineer
Tasks
- Apply SDLC standards and security practices
- Author technical requirements and ensure compliance
- Build and optimize data pipelines
- Conduct data extraction and analysis
- Design data pipeline architecture
- Develop ETL/ELT workflows
- Enable streaming batch data processing
- Ensure data quality, consistency, and availability
- Implement data integration solutions
- Operationalize data pipelines for production
- Perform code reviews and provide mentorship
- Perform data modeling and database design
- Perform performance tuning
- Write and review unit tests
Perks/Benefits
- N/A
Skills/Tech-stack
AWS DynamoDB | AWS EC2 | AWS Glue | AWS Lambda | AWS RDS | AWS S3 | Airflow | Amazon Redshift | Apache Docker | Apache Spark | Azure Data | Azure Data Factory | Azure Databricks | Azure Synapse | Azure Synapse Analytics | Batch Processing | CI/CD | Cassandra | CloudFormation | DBT | Data Factory | Data Modeling | Data Processing | Data Warehousing | Datadog | Docker | DynamoDB | ETL Design | Git | GitHub Actions | GitLab CI | Google BigQuery | Google Dataflow | Google Dataproc | Grafana | Hadoop | Hive | InfluxDB | Informatica | Java | Jenkins | Kafka | Kubernetes | Luigi | Microsoft SQL | Microsoft SQL Server | MongoDB | Monitoring and observability | MySQL | Oracle | PostgreSQL | Python | SQL | SQL Server | Snowflake | Streaming Data | Streaming data processing | Synapse Analytics | Talend | Terraform | TimescaleDB | Trino
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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