Cloud Data Developer

Role: Cloud Data Developer

Location: Iselin, New Jersey

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