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.
Role & responsibilities We are looking for Java developers for one of the MNC . Preferred candidate profile 5- 7 years experience in designing and developing Micro Services . Proven skills in Java, Spring, Spring boot, Hibernate, JPA, REST web services, Spring Security ; Data Structure , Algorithm Good to have with AWS stack Comfortable with tackling ambiguous problems and unblocking yourself Good understanding of architectural patterns of a large, high-scale web application (e.g., well-designed APIs, high volume data pipelines, efficient algorithms). Understanding of data structures and problem solving approaches, and ability to articulate trade offs Strong understanding of Domain Driven Design (DDD), 12 factor Apps, Micro services design patterns Strong fundamentals – OOPS concepts, SOLID principles, Data Structures/Algorithms, Exception Handling, Coding Standards, Logging Passionate about writing clean, modular and unit testable code Possesses strong verbal and written communication skills. Experience with Agile development Knowledge of unit testing frameworks – preferably JUnit Good knowledge of Jenkins, SonarQube, Git, Deployment Architecture BE/BTech in Computer Science / MIS or equivalent work-related experience
Role & responsibilities Senior Data Modelling Preferred candidate profile Job Title: Data Engineer (Data Modelling / SQL / Data Warehousing) Experience: 8 - 12 Years Location: Chennai / Pune / Hyderabad /Bangalore --- 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.
Role & responsibilities We are looking for Java developers for one of the MNC . Preferred candidate profile 7 plus years experience in designing and developing Java , Micro Services ,Springboot technology . Proven skills in Java, Spring, Spring boot, Hibernate, JPA, REST web services, Spring Security ; Data Structure , Algorithm Good to have with AWS /Azure/Gcp cloud Comfortable with tackling ambiguous problems and unblocking yourself Good understanding of architectural patterns of a large, high-scale web application (e.g., well-designed APIs, high volume data pipelines, efficient algorithms). Understanding of data structures and problem solving approaches, and ability to articulate trade Strong understanding of Domain Driven Design (DDD), 12 factor Apps, Micro services design patterns Strong fundamentals OOPS concepts, SOLID principles, Data Structures/Algorithms, Exception Handling, Coding Standards, Logging Passionate about writing clean, modular and unit testable code Possesses strong verbal and written communication skills. Experience with Agile development Knowledge of unit testing frameworks preferably JUnit Good knowledge of Jenkins, SonarQube, Git, Deployment Architecture
Role & responsibilities Senior Data Engineer role Preferred candidate profile 5+ Years experience in Data Engineer. Hands on in Python, Pypark, Databricks strong SQL background, big data and cloud background are secondary. Overall 7 - 10 years of experience into Data Engineering. Strong understanding familiarity with all Azure/Aws Ecosystem components. In depth knowledge and hands on experience of Azure Data bricks spark, Spark streaming and its various core components like GraphX, MLLib. Design and develop data ingestion programs to process large data sets in Batch mode using python, Databricks, and Spark. Strong understanding of underlying Azure Architectural concepts and distributed computing paradigms. Hands-on programming experience in Python. Experience working with SQL (mySQLPostgresSQL Server), NoSQL (cassandra MongoCosmos DB) Graph databases (Neo4j). Advanced working SQL knowledge to create complex queries.
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