Experienced Cloud Data Developer with a strong background in Azure Cloud, Databricks, Elasticsearch, PostgreSQL, and Scala. Responsibilities include building scalable data pipelines, implementing CI/CD practices, and collaborating with cross-functional teams in agile environments. Familiarity with Quantexa. Ideal for roles focused on cloud-native data engineering and enterprise-scale data solutions. Key Responsibilities: • Design and implement scalable data pipelines using Azure Databricks and Scala. • Develop and optimize queries and data models in PostgreSQL and Elasticsearch. • Collaborate with DevOps teams to build and maintain CI/CD pipelines for data applications. • Monitor and troubleshoot data workflows and cloud infrastructure. • Work closely with data scientists, analysts, and other developers to deliver high-quality data solutions. • Ensure data security, compliance, and best practices in cloud environments. • Monitor and optimize application performance, reliability, and cost. • Write clean, maintainable, and well-tested code following best practices. • Troubleshoot and resolve issues across development, test, and production environments. • Participate in agile ceremonies such as sprint planning, stand-ups, and retrospectives. • Contribute to code reviews, knowledge sharing, and mentoring of junior developers. • Communicate effectively across teams to align on project goals, timelines, and deliverables. • Foster a collaborative team environment by promoting open communication and continuous improvement. Required Skills & Qualifications: • Strong experience with Microsoft Azure services (e.g., Data Lake, Azure Functions, Azure DevOps). • Experience with Quantexa for entity resolution and network analytics. • Proficiency in Databricks and Apache Spark. • Solid understanding of Elasticsearch for search and analytics. • Experience with PostgreSQL database design and optimization. • Proficient in Scala programming language. • Hands-on experience with CI/CD tools (e.g., Azure DevOps, GitLab, GitHub). • Experience with containerization tools like Docker and orchestration with Kubernetes. • Familiarity with Agile development methodologies. • Excellent communication and teamwork skills. Preferred Qualifications: • Knowledge of data governance and security best practices. • Certifications in Azure or related technologies. • Experience in designing data models and managing data pipelines at scale. • Exposure to machine learning pipelines or data science workflows.