sales Executives

Job Description:

We are seeking a highly motivated and skilled Full Stack Java Developer with strong experience in backend and frontend development, cloud deployment, and modern DevOps practices. The ideal candidate will have a solid background in Java/J2EE technologies, hands-on experience in developing microservices on AWS, and a good understanding of CI/CD pipelines and monitoring tools.

Key Responsibilities:

• Design, develop, test, and maintain scalable web applications and microservices.
• Implement backend logic using Core Java, J2EE, Spring Boot, Spring Batch, JPA, and REST APIs.
• Build responsive UIs using React, HTML, CSS, and integrate them with backend services.
• Develop and deploy microservices using AWS services like ECS, EC2, S3, API Gateway, Aurora, ALB, and Route 53.
• Participate in Agile development processes, including sprint planning, stand-ups, and retrospectives.
• Write unit and integration tests using JUnit and Cucumber.
• Monitor application performance using APM tools and analyze logs using Splunk or similar tools.
• Implement CI/CD pipelines using Jenkins, Maven/Gradle, and Git/Bitbucket.
• Work with containerization and orchestration tools like Docker and Kubernetes.
• Collaborate with cross-functional teams using tools like JIRA and Confluence.

Required Skills & Experience:

• Strong hands-on experience in Java/J2EE application development.
• Proficiency in Spring frameworks (Spring Boot, Batch) and RESTful services.
• Frontend development experience with React, HTML, CSS.
• Solid experience with AWS cloud technologies and deployment practices.
• Experience in writing and maintaining automated tests with JUnit and Cucumber.
• Knowledge of APM tools and log analysis tools (e.g., Splunk).
• Familiarity with CI/CD pipelines and tools (Jenkins, Maven/Gradle, Git).
• Experience with Docker and Kubernetes.
• Excellent problem-solving, debugging, and analytical skills.
• Good communication skills and ability to work in Agile teams.

Preferred Qualifications:

• AWS certification is a plus.
• Experience with Amazon Aurora and API Gateway in production environments.
• Knowledge of SOA, messaging systems (e.g., MQ), and security best practices.

We are hiring Sales Executives for lead generation and client handling. Candidates should have good communication skills and basic computer knowledge. Freshers can also apply. Attractive incentives and growth opportunities available.

Position Summary

The GCP Senior Data Engineer is responsible for designing, building, optimizing, and maintaining high‑quality data pipelines and cloud‑native data platforms on Google Cloud Platform (GCP). This role partners closely with data analysts, data scientists, business teams, DevOps, and platform engineering to deliver secure, reliable, and scalable data solutions that support Trane Technologies’ digital strategy.

This position requires strong hands‑on engineering capabilities, cloud experience, and a passion for delivering enterprise‑grade data solutions.Qualifications

Education Requirements

• Bachelor’s /Master’s degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related technical field.

Experience Requirements

• 7+ years of total experience in data engineering, data platforms, or data‑centric software engineering.

• 5+ years of hands‑on experience designing and building data pipelines, ETL/ELT workflows, and cloud‑native data solutions.

• 3+ years of direct experience with Google Cloud Platform (GCP) using services such as BigQuery, Cloud Storage, Cloud Run, Datafusion, Dataproc, Composer, and Pub/Sub.

• Advanced proficiency in SQL, Python, and PySpark for data processing and transformation.

• Proven experience developing and supporting production‑grade, end‑to‑end cloud data pipelines.

• Expertise in ELT/ETL design, performance optimization, and data transformation frameworks.

• Strong background in monitoring, logging, alerting, and data quality frameworks across distributed systems.

• Experience with DevOps tools and techniques, including CI/CD, GitHub, and related automation practices.

• Demonstrated experience working in global, cross‑functional, and agile development environments.

• Excellent communication, problem‑solving, and analytical skills with the ability to collaborate across technical and non‑technical teams.

• GCP certification preferred (e.g., Google Cloud Professional Data Engineer).

Core Responsibilities

1. Data Engineering & Cloud Development (Core Responsibilities)

• Design, build, and maintain scalable data processing systems on Google Cloud Platform (GCP).

• Develop end‑to‑end data pipelines to support ingestion, transformation, and storage.

• Build ELT/ETL workflows, database objects, and cloud‑native data orchestration solutions.

• Optimize pipelines for performance, scalability, cost efficiency, and reliability.

• Ensure robust monitoring, alerting, and data quality assurance across distributed systems.

• Implement secure data architectures following Trane Technologies’ standards.

2. Collaboration & Analytics Enablement

• Work closely with data analysts and data scientists to understand business requirements and translate them into scalable data solutions.

• Support analytical use cases, data modelling, and enable self‑service data consumption.

• Partner across global teams, including business stakeholders, product owners, and data governance.

3. DevOps / Platform Engineering Partnership

• Partner with DevOps and platform engineering teams to ensure data infrastructure is secure, reliable, and highly available.

• Apply working knowledge of CI/CD practices (code versioning, automation, testing frameworks) to support cloud‑based deployments.

• Collaborate on environments, pipelines, and promote code through dev → test → prod.

4. Engineering Excellence & Ways of Working

• Participate in code reviews and maintain global coding standards.

• Follow structured engineering methods, documentation practices, and release processes.

• Contribute effectively in distributed, agile development teams across multiple time zones.

• Communicate clearly with both technical and non‑technical stakeholders.

5. Innovation & Continuous Improvement

• Research, evaluate, and propose new tools, technologies, and design patterns.

• Stay current with cloud, data engineering, and analytics trends relevant to enterprise‑scale environments.

• Apply continuous improvement practices to enhance reliability, quality, and developer productivity.

We are looking "SAP Project Manager" for Reputed Client @ Permanent Role.

Experience: 10+ Yrs

• Min 2-3 years of experience in PMO 

• Good in communication skills and reporting skills 

• Knowledge on SAP and high level Process 

• Knowledge on finance process 

• Knowledge on Project execution Process 

• Should be willing to travel and should be committed

Required skills:

1. Backend: Core Java, Spring Boot, Microservices, Hibernate/JPA, Data Structure and Algorithms, and Restful Web Services
2. Front end : HTML, CSS, JavaScript, jQuery, Vue.JS,  NuxtJS ,Vue-router, Vuex 
3. Database : MySQL
4. Version Control Tool: Git
5. Cloud Service: AWS

Job Description:

• Commercial experience using the Full stack Java Development
• Should be strong on basics of core Java - Basic Oops concepts, String, Collections, Exceptions, Interface, Inheritance
• Spring Family - Spring Boot, Spring Core
• Experience in creating Microservice using REST & Spring Boot
• Should be familiar with UI HTML, CSS, JavaScript, Vue.JS framework
• Hands-on experience on Oracle or SQL Server database
• Knowledgeable in AWS
• Agile Experience: Should be able to understand Scrum ceremonies and able to demonstrate experience in Agile

• Owning Fintech Fraud Risk products across account opening and account and activity monitoring
• Defining OKRs for success such as % approvals, bp in losses, good customer friction, precision/ recall etc.
• Thinking out of the box and identifying opportunities where we can build world class Fraud Risk solutions either in-house or via partnerships
• Working with Engineering to create risk capabilities, analytics and decisioning logic to identify, analyze and prevent suspicious activities, including but not limited to: Identity Fraud, Account Takeover/ Abuse Fraud, Transactions Risk, Unauthorized Chargeback Risk etc.
• Driving Proof of Concepts and Demos to illustrate the company's capabilities
• Working with Sales, Business Operations and Engineering to meet internal and external stakeholder needs
• Researching emerging issues impacting Fintech players and ideating on solving their digital risks through innovation
• Validating supply partnerships to be used in solutioning, where needed
• Collaborating with external partners and clients and standardizing integration strategy for the company's input/ output and client feedback loops

Desired Candidate Profile

• 5-7 years of experience in Product Management, preferably in Financial Fraud Risk
• Career concentration in Fintechs, Payments or Risk Service Providers
• Experience in developing requirements for Risk score-based rules engines, Classification and Regression models etc.
• Bachelor’s degree or higher, preferably in Maths, Statistics or an area of Technology
• Strong quantitative abilities, distinctive problem-solving and excellent analytics skills
• Strong organizational, communication, presentation and project management skills
• Experience with analytical/ statistical tools like SQL, SAS, Altair Knowledge Studio, R or Python preferable
• Experience in experimentation and A/B testing a plus
• Strong sense of product design and customer empathy