Principal, Data Engineer
INR 1200K-2000K (estimate) Senior-level Full Time
Tasks
- Architect data platforms
- Build ETL and ELT pipelines
- Create lakehouse and warehouse solutions
- Create reference architectures and platform roadmaps
- Design multi-tenant data models
- Develop feature generation platforms
- Implement batch and streaming processing pipelines
- Lead and mentor engineering teams
- Manage data lineage and metadata
- Monitor data pipelines and triage incidents
- Perform root cause analysis and optimize performance
- Scale cloud data lake and analytics platform
- Set up DataOps CI CD for data pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
AKS | API Management | ARM | Agile Scrum | Amazon Kinesis | Azure | Azure Data | Azure Data Factory | Azure Databricks | Azure DevOps | Azure Event | Azure Event Grid | Azure Event Hubs | Azure Functions | Azure SQL | Azure SQL Managed Instance | Azure Service | Azure Service Bus | Azure Storage | Azure Storage Accounts | Bicep | Big Data | CI/CD | Confluence | Cosmos DB | DBT | Data Engineering | Data Factory | Data Observability | Data Quality | Databricks | Draw IO | ELT | ETL | Event Grid | Event Hubs | GitHub Actions | Great Expectations | Informatica | Infrastructure as Code | Integration Testing | Jira | Kafka | Managed Instance | MongoDB | MySQL | Oracle | Partitioning | Performance Tuning | Postgres | Python | Redis Cache | SQL | SQL Managed Instance | SQL Server | Schema evolution | Service Bus | SnapLogic | Snowflake | Spark | Storage Accounts | Terraform | Unit Testing | “as-code”
Education
N/A
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
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