Lead Full Stack Engineer
INR 2800K-3900K (estimate) Senior-level Full Time
Tasks
- Architect and optimize data platforms
- Automate workflows for resilience
- Build ETL and ELT workflows
- Build batch and real-time pipelines
- Contribute to data roadmap and platform modernization
- Define application requirements
- Design and maintain scalable data pipelines
- Design data models
- Enforce coding testing and CI CD best practices
- Ensure HIPAA and GDPR compliance
- Implement cloud solutions on Azure
- Implement data governance frameworks
- Implement data validation and lineage
- Lead and mentor data engineers
- Lead engineering teams
- Maintain metadata catalog tools
- Manage CI/CD and infrastructure as code
- Monitor pipelines and define SLAs and SLOs
- Participate in technical discussions
- Partner with business and analytics teams
- Perform root cause analysis for incidents
- Prioritize work for project timelines
- Translate business requirements into technical designs
- Write code and review code
Perks/Benefits
Skills/Tech-stack
Airflow | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Event | Azure Event Hubs | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Factory | Data Governance | Data Lake Storage | Data Lineage | Data Modeling | Dimensional Modeling | Docker | Event Hubs | GDPR | Git | HIPAA | Kafka | Kubernetes | Metadata Management | Microsoft Fabric | Microsoft Purview | NoSQL | PySpark | Python | Relational databases | SQL | Snowflake | Snowflake Streams | Snowpipe | Spark | Synapse Analytics | Terraform
Education
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