data engineer - databricks

We're looking for a hands-on Data Engineer with strong experience building reliable, real-time data pipelines using Amazon Kinesis and Databricks . You'll work with modern AWS data technologies to develop and optimise streaming pipelines, moving high-volume data from Kinesis into the Databricks Lakehouse using Spark Structured Streaming and Delta tables....

You will contribute to backend data layer design for scalability and observability, optimize Spark configurations, and implement CI/CD for data workloads using Azure DevOps and Terraform-style IaC. A strong emphasis on data modeling, governance, and production reliability is required.

You will contribute to backend data layer design for scalability and observability, optimize Spark configurations, and implement CI/CD for data workloads using Azure DevOps and Terraform-style IaC. A strong emphasis on data modeling, governance, and production reliability is required.

You will contribute to backend data layer design for scalability and observability, optimize Spark configurations, and implement CI/CD for data workloads using Azure DevOps and Terraform-style IaC. A strong emphasis on data modeling, governance, and production reliability is required.

You will contribute to backend data layer design for scalability and observability, optimize Spark configurations, and implement CI/CD for data workloads using Azure DevOps and Terraform-style IaC. A strong emphasis on data modeling, governance, and production reliability is required.

You will contribute to backend data layer design for scalability and observability, optimize Spark configurations, and implement CI/CD for data workloads using Azure DevOps and Terraform-style IaC. A strong emphasis on data modeling, governance, and production reliability is required.

You'll collaborate with software engineers, implement CI/CD with Azure DevOps, and optimise data models and pipelines for performance and cost efficiency, while mentoring peers and upholding engineering standards.

You'll collaborate with software engineers, implement CI/CD with Azure DevOps, and optimise data models and pipelines for performance and cost efficiency, while mentoring peers and upholding engineering standards.

You'll collaborate with software engineers, implement CI/CD with Azure DevOps, and optimise data models and pipelines for performance and cost efficiency, while mentoring peers and upholding engineering standards.

You'll collaborate with software engineers, implement CI/CD with Azure DevOps, and optimise data models and pipelines for performance and cost efficiency, while mentoring peers and upholding engineering standards.

Halo Labs is a forward-thinking data solutions firm hiring a Data Engineer to design and maintain PySpark frameworks and scalable ETL/ELT pipelines on Databricks across Azure and AWS. You will build secure data integrations, mentor engineers, and contribute to scalable SaaS data architectures.The role emphasizes production-grade data workflows, CI/CD...

Halo Labs is a forward-thinking data solutions firm hiring a Data Engineer to design and maintain PySpark frameworks and scalable ETL/ELT pipelines on Databricks across Azure and AWS. You will build secure data integrations, mentor engineers, and contribute to scalable SaaS data architectures.The role emphasizes production-grade data workflows, CI/CD...

Halo Labs is a forward-thinking data solutions firm hiring a Data Engineer to design and maintain PySpark frameworks and scalable ETL/ELT pipelines on Databricks across Azure and AWS. You will build secure data integrations, mentor engineers, and contribute to scalable SaaS data architectures.The role emphasizes production-grade data workflows, CI/CD...

Halo Labs is a forward-thinking data solutions firm hiring a Data Engineer to design and maintain PySpark frameworks and scalable ETL/ELT pipelines on Databricks across Azure and AWS. You will build secure data integrations, mentor engineers, and contribute to scalable SaaS data architectures.The role emphasizes production-grade data workflows, CI/CD...

Halo Labs is a forward-thinking data solutions firm hiring a Data Engineer to design and maintain PySpark frameworks and scalable ETL/ELT pipelines on Databricks across Azure and AWS. You will build secure data integrations, mentor engineers, and contribute to scalable SaaS data architectures.The role emphasizes production-grade data workflows, CI/CD...

You will contribute to backend data layer design for scalability and observability, optimize Spark configurations, and implement CI/CD for data workloads using Azure DevOps and Terraform-style IaC. A strong emphasis on data modeling, governance, and production reliability is required.

You will contribute to backend data layer design for scalability and observability, optimize Spark configurations, and implement CI/CD for data workloads using Azure DevOps and Terraform-style IaC. A strong emphasis on data modeling, governance, and production reliability is required.

You will contribute to backend data layer design for scalability and observability, optimize Spark configurations, and implement CI/CD for data workloads using Azure DevOps and Terraform-style IaC. A strong emphasis on data modeling, governance, and production reliability is required.

You will contribute to backend data layer design for scalability and observability, optimize Spark configurations, and implement CI/CD for data workloads using Azure DevOps and Terraform-style IaC. A strong emphasis on data modeling, governance, and production reliability is required.

You will contribute to backend data layer design for scalability and observability, optimize Spark configurations, and implement CI/CD for data workloads using Azure DevOps and Terraform-style IaC. A strong emphasis on data modeling, governance, and production reliability is required.