monitor and manage execution per pipeline setup, ensure pipelines execute in parallel and within a specified into end-to-end coverage, fitness of QA test and pipeline, introduction of AI tools to enhance QA test capabilities Understand Azure DevOps pipelines (CI & CD). Toolsets: Azure Repos Azure Pipelines SonarQube Maven Junit
ensure on-time delivery of automation, test data, pipeline setup per journey, maintenance, etc.), introduction capabilities Build the end-to-end Integration test, pipeline setup across journeys, automation maintained, Understand Azure DevOps pipelines (CI & CD). Toolsets: Azure Repos Azure Pipelines SonarQube Maven Junit
Programming languages such as Python and Big Data pipelines such as ETL, SQL, Spark etc. Relevant IT degree branching strategies and development approaches CI/CD pipeline development using Code Build and Github Actions Coverage Terraform and IAC deployments PySpark pipeline development Knowledge of multiple database types
target AWS accounts Enhance and optimize data pipelines, ETL processes, and ingestion workflows Implement code (IaC) in the target accounts Set up CI/CD pipelines using Azure DevOps for efficient deployment Ensure Experience with Python and its use in data engineering pipelines Solid understanding of CI/CD practices and Azure
for design and implementation of a robust CI/CD pipeline specifically tailored for Salesforce applications DevOps pipelines. Key Responsibilities CI/CD Pipelines: Develop and maintain CI/CD pipelines using Azure
as maintain a means to track product quality, quantity and costs. Monitor stock movements to ensure that products for delivery, keeping track of their quantity, quality, costs and delivery dates. Participate
as maintain a means to track product quality, quantity and costs. Monitor stock movements to ensure that products for delivery, keeping track of their quantity, quality, costs and delivery dates. Participate
Programming languages such as Python and Big Data pipelines. This position is based on a Hybrid working model Programming languages such as Python and Big Data pipelines such as ETL, SQL, Spark etc. Ability to develop branching strategies and development approaches CI/CD pipeline development using Code Build and Github Actions Coverage Terraform and IAC deployments PySpark pipeline development Knowledge of multiple database types when to create alerts and setting up alerting pipelines. Be comfortable with Data Structures and Algorithms
responsible for building and maintaining Big Data Pipelines using GROUP Data Platforms. Data Engineers are multi-task. Experience building data pipeline using AWS Glue or Data Pipeline, or similar platforms. Familiar Function Param Store Secrets Manager Code Build/Pipeline CloudFormation Business Intelligence (BI) Experience
responsible for building and maintaining Big Data Pipelines using GROUP Data Platforms. Data Engineers are Function Param Store Secrets Manager Code Build/Pipeline CloudFormation Business Intelligence (BI) Experience Function Param Store Secrets Manager Code Build/Pipeline CloudFormation Business Intelligence (BI) Experience multi-task. Experience building data pipeline using AWS Glue or Data Pipeline, or similar platforms. Familiar