3 Jobs in Hybrid

Job Title: Java Backend Developer Location: Hyderabad Experience: 5+ years Employment Type: Full-time Job Description: We are looking for a highly skilled Java Backend Developer with 4-6 years of experience in developing and maintaining backend services. The ideal candidate should have strong expertise in Java, Spring Boot, microservices, and cloud technologies . Key Responsibilities: Design, develop, and maintain high-performance, scalable, and secure backend services. Work with Spring Boot, Hibernate, and Microservices architecture for API development. Implement RESTful APIs, integrate third-party services, and optimize backend logic. Handle database design, queries, and performance tuning for relational (MySQL, PostgreSQL) and NoSQL (MongoDB, Redis) databases. Work with messaging queues (Kafka, RabbitMQ) to enable asynchronous processing. Deploy applications on cloud platforms (AWS, Azure, GCP) and manage CI/CD pipelines. Collaborate with frontend teams, DevOps engineers, and other stakeholders for seamless integration. Ensure code quality, security, and best practices through unit testing, code reviews, and documentation. Required Skills & Qualifications: 5+ years of experience in Java backend development . Strong experience with Spring Boot, Spring MVC, Hibernate, and Microservices . Proficiency in RESTful APIs, GraphQL, and JSON . Hands-on experience with SQL (MySQL, PostgreSQL) and NoSQL (MongoDB, Redis) databases . Experience with Cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes) . Knowledge of CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI/CD) . Experience with message brokers (Kafka, RabbitMQ) . Strong understanding of multithreading, performance optimization, and security best practices . Familiarity with Agile development methodologies (Scrum, Kanban) . Excellent problem-solving skills, ability to work independently and within a team. Preferred Skills (Good to Have): Exposure to full-stack development with JavaScript frameworks (React.js, Angular). Experience with Serverless architectures (AWS Lambda, Azure Functions). Understanding of GraphQL APIs and WebSockets. Educational Qualification: Bachelors/Masters degree in Computer Science, Information Technology, or related field. Benefits: Competitive salary package Flexible work environment (Hybrid/Remote options based on company policy) Learning and development programs Health insurance and other employee benefits

Sales Director / Senior BDM - Data Engineering/Analytics - USA Exp: 10+ Years Industry: Digital, IT Services, Data Domain (End-Clients): Technology, E-Commerce /Retail, BFSI, Healthcare or Manufacturing. Functional Area: Digital Solutions: DevOps, Cloud, Data, DataOps, AI/ML, Analytics, Mobility, Application Development, Testing Solutions. Must Have: Travelled to US Sales Strategy and Planning Account Management Data Mining & Analytics Relationship Building Data-driven Decision Making Customer Needs Analysis Team Leadership Cloud Solution selling Responsibilities: Data centric solutions/use cases like Customer 360, Data Analytics, BI Reporting/Dashboards, Data Platform, Document AI along with large Data Migration projects sold to enterprises. Develop strategic account plans aligned with client goals and company objectives. Identify opportunities for upselling and cross-selling data and analytics products and services to maximize revenue from existing clients. Stay up-to-date with the company's data and analytics products and services. Provide expert consultation to clients on how to best leverage data and analytics to drive business outcomes and achieve their goals. Coordinate the delivery of data and analytics projects for clients, ensuring projects are completed on time, within scope, and within budget. Serve as a liaison between clients and internal teams to ensure clear communication and alignment throughout the project lifecycle. Developing comprehensive account strategies aligned with both client objectives and organizational goals to maximize revenue opportunities and increase client satisfaction. Develop and maintain strong relationships with existing clients, ensuring customer onboarding, deep account mining, ensuring customer centricity and success while enhancing their satisfaction through delivering on the customer needs. Collaborated with cross-functional teams, including data scientists and analysts, to develop innovative solutions and address client needs effectively. Working closely with CXOs to understand their long-term organizational vision and their quarterly and annual business objectives and identifying value drivers

Hands-on experience with AWS Glue or Databricks, PySpark, and Python. Minimum of 2 years of hands-on expertise in PySpark, including Spark job performance optimization techniques. Minimum of 2 years of hands-on involvement with AWS Cloud Hands on experience in StepFunction, Lambda, S3, Secret Manager, Snowflake/Redshift, RDS, Cloudwatch Proficiency in crafting low-level designs for data warehousing solutions on AWS cloud. Proven track record of implementing big-data solutions within the AWS ecosystem including Data Lakes. Familiarity with data warehousing, data quality assurance, and monitoring practices. Demonstrated capability in constructing scalable data pipelines and ETL processes. Proficiency in testing methodologies and validating data pipelines. Experience with or working knowledge of DevOps environments. Practical experience in Data security services. Understanding of data modeling, integration, and design principles. Strong communication and analytical skills. A dedicated team player with a goal-oriented mindset, committed to delivering quality work with attention to detail.