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The Senior Data Analyst will gather requirements, manage stakeholders, analyze complex datasets, and create data models and dashboards using various tools. The role emphasizes improving business data understanding and cleansing, while collaborating closely with stakeholders.

Looking for a Data Engineer to implement cloud-native data platforms, engineer scalable pipelines, and manage cloud resources. Ideal candidates have strong Python and SQL skills, and experience with tools like Spark and Terraform. Familiarity with MLOps is a plus.

Design and implement Python testing frameworks, conduct ETL testing, and collaborate in a CI/CD environment focusing on cloud-based data platforms.

The Sales Executive will drive new business in enterprise sectors, engage senior stakeholders, close deals, and collaborate with technical teams.

The Data Solution Architect will design and implement cloud-based data and AI platforms, ensuring scalable data solutions and effective communication with clients.

As a Cloud Engineer, you will manage cloud infrastructures, leverage serverless services, integrate with third-party solutions, and ensure security best practices while working in an Agile team.

The Data Engineer will implement cloud-native data platforms, engineer scalable pipelines, and optimize cloud resources using Python and SQL, while applying agile methodologies and cloud automation tools.

As a Senior Data Analyst, you will gather and document business requirements, manage stakeholders, analyze complex datasets, and create data models and dashboards.

The Data Engineer will optimize backend services for a SaaS platform, develop data pipelines using SQL and Python, and collaborate in an Agile environment to implement cloud solutions on Microsoft Azure.

The Cloud Engineer will engage with AWS or GCP, build and manage cloud infrastructure, integrate services, and implement security practices. They will lead a team in agile environments, focusing on data platforms and DevOps principles.