Consultant - Cloud Data Engineer
INR 1000K-2000K (estimate) Mid-level Full Time
Tasks
- Architect ETL pipelines
- Build scalable data ingestion pipelines
- Coordinate with data scientists
- Deploy containerized data services
- Ensure data quality, integrity, and security
- Implement infrastructure-as-code
- Maintain automated machine learning training pipelines
- Model feature stores
- Monitor and optimize query performance
- Optimize cloud costs
- Optimize sharding strategies
- Provide analytics ready datasets
Perks/Benefits
- N/A
Skills/Tech-stack
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 Catalog | Data Factory | Data Lake Storage Gen2 | Data Modeling | Dimensional Modeling | Docker | ELT | ETL | Event Hubs | Feature Store | 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 | Machine Learning | Microsoft Purview | PySpark | Python | Real Time | Real-time Ingestion | SQL | Scala | Slowly Changing Dimensions | Snowflake Schema | Star Schema | Streaming | Synapse Analytics | Terraform
Roles
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