JD: Design, develop, and maintain Java-based applications using Spring Boot and Microservices. Implement scalable, secure, and high-performance services. Write clean, efficient, and well-documented code. Collaborate with cross-functional teams (QA, DevOps, Product, Business Analysts) to deliver end-to-end solutions. Debug, troubleshoot, and optimize applications for performance and scalability. Participate in code reviews, provide constructive feedback, and ensure best practices. Work with RESTful APIs and integrate third-party services. Apply knowledge of data structures and algorithms to solve complex problems efficiently. Ensure adherence to Agile development methodologies and DevOps practices.
Required Skills & Qualifications Bachelors degree in Computer Science , Engineering , or related field (or equivalent practical experience). 5+ years of professional Java development experience. Proficiency in Java 8+ . Strong experience with Spring Boot and Spring ecosystem. Experience in developing and consuming RESTful APIs . Hands-on experience with Microservices architecture and related design patterns. Strong understanding of Data Structures, Algorithms, and Object-Oriented Programming (OOP) concepts. Experience with relational and/or NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB). Familiarity with Git and version control workflows. Understanding of CI/CD pipelines and containerization tools (Docker, Kubernetes) is a plus. Excellent problem-solving skills and attention to detail.
Role & responsibilities Senior Data Modelling Preferred candidate profile Job Title: Data Engineer (Data Modelling / SQL / Data Warehousing) Experience: 6 8 Years Location: Chennai / Pune / Hyderabad --- Key Responsibilities: Design and implement data models (Star Schema, Snowflake Schema, Fact & Dimension tables) for analytics and reporting. Develop and optimize SQL queries, stored procedures, and ETL workflows for large-scale data processing. Build and maintain data warehousing solutions, ensuring scalability, performance, and reliability. Collaborate with BI, Data Science, and application teams to deliver optimized data solutions. Perform data quality checks, governance, and performance tuning for large datasets. --- Required Skills: Strong expertise in Data Modelling (Star Schema, Snowflake Schema, normalization/denormalization). Advanced SQL skills (query optimization, indexing, stored procedures). In-depth knowledge of Data Warehousing concepts & ETL processes. Experience with at least one ETL tool (Informatica, SSIS, Talend, DataStage, etc.). Exposure to cloud data platfoms. Good problem-solving, communication, and stakeholder management skills.
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