Senior Principal Data Engineer
Bengaluru, Karnātaka, India
INR 2400K-3500K (estimate) Senior-level Full Time
Tasks
- Build ingestion for APIs event streams files and third party sources
- Communicate architectural decisions and trade-offs
- Define data engineering standards and best practices
- Design, build, and manage data pipelines
- Develop data models and schemas
- Implement data quality lineage observability and automated testing
- Lead architecture reviews and design discussions
- Mentor and guide data engineering team
- Optimize compute storage and transformation performance and cost
- Own data platform architecture
Perks/Benefits
- Career Development Programs
- Health and wellbeing programs
- Hybrid work 2 days per week
- Inclusion and diversity culture
- Work-life flexibility
Skills/Tech-stack
API ingestion | AWS | Amazon Kinesis | Apache Airflow | Apache Spark | Automated testing | CI/CD | Cloud infrastructure | Cloud platform | CloudFormation | DBT | Dagster | Data Architecture | Data Engineering | Data Governance | Data Lineage | Data Modeling | Data Pipelines | Data Quality | DataOps | Distributed Processing | ELT | ETL | Event Driven | Event-driven architecture | Feature Store | Google Cloud | Google Cloud Platform | Google Pubsub | Infrastructure as Code | Kafka | MLOps | Machine Learning | Metadata Management | Microsoft Azure | Observability | Prefect | Python | SQL | Security | Snowflake | Terraform | Version control | “as-code”
Education
N/A
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