Data Platform Engineer
Bengaluru, Karnataka, India
INR 3000K-4000K (estimate) Senior-level Full Time
Tasks
- Design and automate security and RBAC models
- Design data platform architecture
- Develop data as a service features
- Ensure data interoperability and standards
- Implement data platform components
- Manage and scale streaming infrastructure
- Optimize Snowflake Databricks and AWS S3 data lakes
- Optimize Spark and PySpark applications
- Translate business needs into technical requirements
Perks/Benefits
- Childcare services
- Employee assistance program
- Employee doctor consultation access
- Life assurance
- Medical insurance
- Paid time off
- Personal accident insurance
- Provident fund contributions
Skills/Tech-stack
AWS EKS | AWS IAM | AWS SNS | AWS SQS | Amazon Kinesis | Amazon S3 | Apache Airflow | Apache Flink | Apache Iceberg | Data Catalog | Data Governance | Data Observability | Data Preparation | Data Vault | Databricks | Docker | Infrastructure as Code | Inmon | Kafka | Kimball | Kubernetes | LLM data preparation | Milvus | Model Context Protocol | Pinecone | PySpark | Python | RAG | Retrieval-Augmented Generation | SQL | Snowflake | Spark | Terraform | Vector Databases | Weaviate | “as-code”
Roles
Data Platform | Data Platform Engineer | Engineer | Platform Engineer
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