Consultant - Cloud Data Engineer
INR 1000K-2000K (estimate) Mid-level Full Time
Tasks
- Architect ETL/ELT pipelines
- Build automated machine learning training pipelines
- Build scalable data warehouse pipelines
- Collaborate with data scientists
- Deploy and manage containerized data services
- Ensure data quality, integrity, and security
- Implement Feature Stores
- Ingest real time telemetry data
- Manage infrastructure as code
- Monitor query performance
- Optimize cloud costs
- Optimize sharding strategies
- Provide analytics ready datasets
Perks/Benefits
- N/A
Skills/Tech-stack
AWS N/A | Apache Airflow | Apache Druid | Apache Druid N/A | Apache Kafka | Apache Spark | Azure | 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 Purview | Azure Synapse | Azure Synapse Analytics | Bigtable | Cloud Dataflow | Cloud Dataproc | Cloud Functions | Cloud Pub/Sub | Cloud Storage | Cosmos DB | DBT | Data Factory | Data Lake Storage Gen2 | Data Modeling | Dimensional Modeling | Docker | Event Hubs | Google BigQuery | Google Cloud | Google Cloud Dataflow | Google Cloud Dataproc | Google Cloud Pub/Sub | Google Cloud Storage | Infrastructure as Code | Kubernetes | Microsoft Purview | N A | Pub/Sub | PySpark | Python | SCD Type-2 | SQL | Scala | Slowly Changing Dimensions | Snowflake | Snowflake Schema | Star Schema | Synapse Analytics | Terraform | Type 2) | “as-code”
Education
Roles
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