Senior Data Engineer
Tasks
- Build scalable data pipeline architectures
- Collaborate on data requirements and ETL solutions
- Design data pipelines
- Develop and deploy data models
- Ensure data quality and consistency
- Implement data ingestion and transformation
- Implement data security and privacy compliance
- Monitor pipeline performance and troubleshoot issues
- Own ETL pipelines
Perks/Benefits
- Background checks during recruitment
- Creche allowance
- Cultural events
- Flexible work model
- Lab days
- Leadership programs
- Learning and development allowance
- Mentoring
- National pension scheme
- Office collaboration
- Tech meetups
- Voluntary provident fund
Skills/Tech-stack
AI Platform | Apache Airflow | Apache Spark | CI/CD | Cloud Storage | DBT | Data Lakes | Data Modeling | Docker | ETL | Encryption | Flink | GCP IAM | GDPR | Git | Google BigQuery | Google Cloud | Google Cloud Storage | Kafka | Kubeflow | Kubernetes | PySpark | SQL | Scala | TensorFlow Extended | Vertex AI
Education
N/A
Roles
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