Consultant - Cloud Data Engineer
INR 1000K-2000K (estimate) Mid-level Full Time
Tasks
- Build ETL/ELT pipelines
- Build streaming event driven architectures
- Deploy containerized data services
- Design data pipelines
- Ensure data quality, integrity, and security
- Implement Feature Stores
- Ingest telemetry and log data
- Maintain machine learning training pipelines
- Manage infrastructure as code
- Monitor and optimize query performance
- Optimize sharding strategy
- Orchestrate data workflows
- Process large scale datasets with distributed computing
- Provide analytics ready datasets
- Reduce cloud costs
- Transform data models with dbt
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Airflow | Apache Kafka | Apache Spark | 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 | Cosmos DB | DBT | Data Factory | Data Lake Storage Gen2 | Docker | Event Hubs | Google BigQuery | Google Cloud | Google Cloud Dataflow | Google Cloud Dataproc | Google Cloud Functions | Google Cloud PubSub | Google Cloud Storage | Google Dataplex | Kubernetes | Microsoft Purview | PySpark | Python | SQL | Scala | Synapse Analytics | Terraform
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Information Technology | Master of Computer Applications
Roles
Cloud Data Engineer | Cloud) | Data Engineer | Engineer | Senior Data Engineer
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