Position Summary We are seeking a skilled Cloud Data Engineer to design build and optimize cloud-based data platforms and pipelines. The ideal candidate has deep experience with modern data architectures distributed processing data modeling and cloud-native tools. This role focuses on developing scalable secure and reliable data solutions that empower analytics data science and business intelligence across the organization.
Key Responsibilities Data Architecture & Engineering -
Design build and maintain scalable ETL/ELT data pipelines using cloud-native and open-source tools.
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Develop and optimize data lake data warehouse and data mesh architectures.
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Model and structure data for analytical operational and machine learning use cases.
-
Implement solutions for real-time streaming batch processing and event-driven data flows.
Cloud Platform Engineering -
Build and manage data infrastructure using cloud services (AWS Azure GCP or multi-cloud).
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Leverage cloud-native tools (e.g. AWS Glue/Lambda Azure Data Factory GCP Dataflow/Dataproc).
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Ensure performance scalability and cost efficiency of data workloads.
-
Implement best practices for cloud resource provisioning monitoring and automation.
Data Integration & Management -
Integrate data from various systems APIs SaaS platforms and databases.
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Manage data ingestion transformation validation and lineage tracking.
-
Develop metadata-driven and reusable components for pipeline frameworks.
-
Collaborate with data governance teams to implement security compliance and data-quality standards.
Collaboration & Stakeholder Support -
Work closely with analytics BI product and data science teams to deliver reliable datasets.
-
Translate business requirements into technical design and data solutions.
-
Document architectural decisions workflows and data models.
DevOps CI/CD & Automation -
Implement CI/CD pipelines for data engineering workflows.
-
Manage infrastructure-as-code using Terraform CloudFormation ARM/Bicep or similar tools.
-
Automate operational tasks to ensure data platform reliability and scalability.
Position Summary We are seeking a skilled Cloud Data Engineer to design build and optimize cloud-based data platforms and pipelines. The ideal candidate has deep experience with modern data architectures distributed processing data modeling and cloud-native tools. This role focuses on developing s...
Position Summary We are seeking a skilled Cloud Data Engineer to design build and optimize cloud-based data platforms and pipelines. The ideal candidate has deep experience with modern data architectures distributed processing data modeling and cloud-native tools. This role focuses on developing scalable secure and reliable data solutions that empower analytics data science and business intelligence across the organization.
Key Responsibilities Data Architecture & Engineering -
Design build and maintain scalable ETL/ELT data pipelines using cloud-native and open-source tools.
-
Develop and optimize data lake data warehouse and data mesh architectures.
-
Model and structure data for analytical operational and machine learning use cases.
-
Implement solutions for real-time streaming batch processing and event-driven data flows.
Cloud Platform Engineering -
Build and manage data infrastructure using cloud services (AWS Azure GCP or multi-cloud).
-
Leverage cloud-native tools (e.g. AWS Glue/Lambda Azure Data Factory GCP Dataflow/Dataproc).
-
Ensure performance scalability and cost efficiency of data workloads.
-
Implement best practices for cloud resource provisioning monitoring and automation.
Data Integration & Management -
Integrate data from various systems APIs SaaS platforms and databases.
-
Manage data ingestion transformation validation and lineage tracking.
-
Develop metadata-driven and reusable components for pipeline frameworks.
-
Collaborate with data governance teams to implement security compliance and data-quality standards.
Collaboration & Stakeholder Support -
Work closely with analytics BI product and data science teams to deliver reliable datasets.
-
Translate business requirements into technical design and data solutions.
-
Document architectural decisions workflows and data models.
DevOps CI/CD & Automation -
Implement CI/CD pipelines for data engineering workflows.
-
Manage infrastructure-as-code using Terraform CloudFormation ARM/Bicep or similar tools.
-
Automate operational tasks to ensure data platform reliability and scalability.
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