<p>We are seeking a Data Scientist / Analytics Specialist to leverage advanced analytics and machine learning techniques to extract value from business data and drive strategic decision-making. The ideal candidate will have strong SQL programming experience, expertise in large database systems, and familiarity with modern data science tools and cloud platforms.</p><p>Key Responsibilities:</p><ul><li>Apply advanced analytics methods to extract insights from structured and unstructured data</li><li>Perform large-scale experimentation and build predictive models to answer business questions</li><li>Conduct research on cutting-edge machine learning and AI techniques</li><li>Define requirements for training and evolving deep learning models and algorithms</li><li>Influence product teams through data-driven recommendations and presentations</li><li>Develop and maintain scalable data pipelines and analytics workflows</li><li>Perform other duties as assigned</li></ul><p><br></p>
<p>Job Overview:</p><p>The Data Architect will lead the design and implementation of enterprise data systems, ensuring alignment with business needs, data governance, and security standards. This role involves working closely with IT teams, business analysts, and data consumers to deliver scalable and secure data solutions.</p><p>Daily Responsibilities:</p><ul><li>Translate high-level business requirements into data models, metadata, test data, and data quality standards</li><li>Manage senior business stakeholders to ensure project alignment with strategic roadmaps</li><li>Lead peer reviews and quality assurance of architectural artifacts</li><li>Define and manage standards, guidelines, and processes for data quality</li><li>Collaborate with IT and analytics teams to develop data solutions</li><li>Evaluate and recommend emerging technologies for data management and analytics</li><li>Establish governance frameworks for internal teams and vendor partners</li></ul><p>rProject Focus:</p><ul><li>Apply data protection rules across storage, compute, and consumption layers</li><li>Design data protection solutions at database, table, column, and API levels</li><li>Architect data systems including databases, warehouses, and lakes</li><li>Select and implement database management systems with optimized schemas and security</li><li>Enhance data pipeline performance and ensure data governance</li></ul>
We’re seeking a highly skilled backend developer with deep expertise in JDK 21, Spring, and high-performance, data-driven systems. This senior-level role focuses on building robust backend services using modern Java, streaming and batch processing, and containerized deployments in a collaborative Agile environment.<br><br>Key Responsibilities:<br><br>- Design and develop scalable backend systems using Java (JDK 21) and Spring Boot, including Spring Batch, Spring Integration, and Spring Cloud.<br>- Build and optimize streaming and batch data pipelines using Kafka and Spring frameworks.<br>- Develop and maintain complex solutions backed by SQL databases with advanced querying and performance tuning.<br>- Architect and deploy containerized applications using Docker and Kubernetes, including custom image builds and orchestration.<br>- Ensure code quality through TDD, code reviews, and CI/CD best practices.<br>- Monitor, debug, and optimize backend services to support high-volume APIs and data flows.<br><br>Core Technical Skills:<br><br>- JDK 21 expertise and mastery of modern Java features.<br>- Advanced use of the Spring ecosystem: Boot, Batch, Integration, Security.<br>- Strong SQL development and relational database experience.<br>- Kafka event-driven architecture for real-time and batch processing.<br>- Experience with Docker image creation, container orchestration (Kubernetes).<br>- Familiarity with monitoring tools (ELK, Splunk) and performance/load testing (JMeter, Locust).<br><br>Nice to Have:<br><br>- Public cloud (Azure, GCP) experience.<br>- API Gateway implementation (esp. Google API Gateway).<br>- Exposure to frontend (Angular/React) is a plus.<br><br>Requirements:<br><br>- 8+ years in software development.<br>- Bachelor’s in Computer Science or related field.<br>- Strong documentation, collaboration, and solution architecture skills.<br>- Availability to work aligned with US Eastern Time.