Consultant - Cloud Data Engineer
Pune, Maharashtra, India
INR 1500K-2400K (estimate) Senior-level Full Time
Tasks
- Architect ETL pipelines
- Build ETL/ELT pipelines
- Deploy and manage containerized data services
- Ensure data quality, integrity, and security
- Implement Feature Stores
- Ingest telemetry and log data
- Maintain ML training pipelines
- Monitor and optimize query performance
- Optimize cloud costs
- Optimize sharding strategies
- Partner with data scientists on feature stores
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Lake Formation | Apache Airflow | Apache Kafka | Apache Spark | Azure Data | Azure Data Catalog | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Databricks | Azure Event | Azure Event Hubs | Azure Functions | Azure Synapse | Azure Synapse Analytics | Bigtable | Cloud Dataflow | Cloud Dataproc | Cloud Functions | Cloud PubSub | Cloud Storage | Cosmos DB | DBT | Data Catalog | Data Factory | Data Lake Storage | Docker | ELT | ETL | Event Hubs | Google BigQuery | Google Cloud | Google Cloud Dataflow | Google Cloud Dataproc | 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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