AM - Cloud Data Engineer
INR 1500K-2400K (estimate) Senior-level Full Time
Tasks
- Build feature stores
- Collaborate with data scientists on analytics ready datasets
- Deploy containerized data services using infrastructure as code
- Design ETL/ELT pipelines
- Ensure data quality, integrity, and security
- Ingest telemetry and log data
- Maintain automated ML training pipelines
- Monitor and optimize query performance
- Optimize sharding strategies
- Reduce cloud data platform costs
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Lake Formation | Apache Airflow | Apache Kafka | Apache Spark | Azure | Azure Cosmos | Azure Cosmos DB | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure Databricks | Azure Event | Azure Event Hubs | Azure Functions | Azure Synapse | Azure Synapse Analytics | Cloud Bigtable | Cloud Dataflow | Cloud Dataproc | Cloud Functions | Cloud PubSub | Cloud Storage | Cloud platform | Cosmos DB | DBT | Data Factory | Data Lake Storage Gen2 | Docker | Event Hubs | Google BigQuery | Google Cloud | Google Cloud Bigtable | Google Cloud Dataflow | Google Cloud Dataproc | Google Cloud Functions | Google Cloud Platform | Google Cloud PubSub | Google Cloud Storage | Google Dataplex | Kubernetes | Lake Formation | Microsoft Purview | PySpark | Python | SQL | Scala | Synapse Analytics | Terraform
Education
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