AM - Cloud Data Engineer
INR 1500K-2400K (estimate) Senior-level Full Time
Tasks
- Architect ETL and ELT pipelines
- Build feature stores
- Deploy and manage containerized data services
- Ensure data governance for data quality integrity and security
- Implement streaming event driven architectures
- Ingest telemetry and log data
- Maintain automated machine learning training pipelines
- Manage data workflows with Apache Airflow
- Model data with dbt
- Monitor and optimize query performance
- Optimize cloud costs
- Optimize sharding strategies
- Process multi terabyte datasets with distributed computing
Perks/Benefits
Skills/Tech-stack
AWS Lake Formation | Apache Airflow | Apache Kafka | Apache Spark | Azure Cosmos | Azure Cosmos DB | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | 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 | Cosmos DB | DBT | Data Factory | Data Lake Storage | Docker | Event Hubs | Google BigQuery | Google Cloud | Google Cloud Bigtable | Google Cloud Dataflow | Google Cloud Dataproc | Google Cloud Functions | Google Cloud PubSub | Google Cloud Storage | Google Dataplex | Kubernetes | Lake Formation | Microsoft Purview | PySpark | Python | SQL | Scala | Slowly Changing Dimensions | Snowflake Schema | Star Schema | Synapse Analytics | Terraform
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Technology | Master of Computer Applications
Roles
Cloud Data Engineer | Cloud) | Data Engineer | Engineer | Senior Data Engineer
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