AM - Cloud Data Engineer
INR 1500K-2500K (estimate) Senior-level Full Time
Tasks
- Architect ETL/ELT pipelines
- Build and maintain feature stores
- Deploy and manage containerized data services
- Ensure data quality, integrity, and security
- Implement event driven streaming with Apache Kafka
- Implement sharding strategies
- Ingest telemetry and log data
- Maintain automated ML training pipelines
- Manage workflows with Apache Airflow
- Model data with dbt
- Monitor and optimize query performance
- Optimize cloud costs
- Process datasets with Apache Spark
Perks/Benefits
Skills/Tech-stack
AWS N/A | Apache Airflow | Apache Kafka | Apache Spark | Azure Data | Azure Data Catalog | 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 | Bigtable | Cloud Dataflow | Cloud Dataproc | Cloud Pub/Sub | Cloud Storage | Cosmos DB | DBT | Data Catalog | Data Factory | Data Lake Storage Gen2 | Data Modeling | Docker | ELT | ETL | Event Hubs | Google BigQuery | Google Cloud | Google Cloud Dataflow | Google Cloud Dataproc | Google Cloud Pub/Sub | Google Cloud Storage | Google Dataplex | Infrastructure as Code | Kubernetes | Microsoft Purview | N A | Pub/Sub | PySpark | Python | SCD | SQL | Scala | Slowly Changing Dimensions | Snowflake Schema | Star Schema | Synapse Analytics | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Technology
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