Strong experience in DBT , Snowflake, PySpark, Python, SQL queries, CICD, Data Lakes Good communication ownership of codes and deployment Immediate- NP of 1 month preferred. Show more Show less

The Senior Performance Engineer will be responsible for performance, capacity, and availability at the enterprise level. The Senior Performance Engineer should examine the structure and architecture of the software with an eye for performance, identify bottlenecks when possible and ensure there's adequate planning for redesign and rescaling as loads shift. The Senior Performance Engineer should know the size of our business and be able to plan for changes brought by expansion, changes in user behavior, software, and hardware changes. The Senior Performance Engineer should be able to examine all levels of the applications stack; from the UI, to API, to database, and even examine the network. PRINCIPAL RESPONSIBILITIES: Work closely with Business and Development to determine testing success criteria and verify requirements and functionality. Coordinate the performance engineering effort with designers, project managers, and architects to flag any potential performance issues as soon as possible. Design, script, configure and run performance tests to validate system performance and stability for all applications in the enterprise. Analyze tests results and work with developers to identify performance bottlenecks and development enhancements. Perform root cause analysis of performance issues and work with developers on solutions. Provide technical assistance to improve system performance, capacity, reliability and scalability. Track and manage performance issues to resolution. Oversee system performance lifecycle and identify key metrics for performance improvements. Participate and represent performance and scaling needs in product and feature design with developers and product managers. Generate periodic performance reports for management review. Assist with system architecture design and evaluation to maximize performance and scalability. Perform root cause analysis of performance issues and suggest corrective actions. Educate the Business, Developers, QA Engineers, and Management about performance testing and best practices. Perform other job-related duties as assigned or apparent. QUALIFICATIONS: At least 10 years’ experience with performance testing tools such as LoadRunner, JMeter, WebLOAD, etc. Expert knowledge of performance benchmarks. Expert knowledge of hardware performance characteristics (storage subsystems, memory subsystems, networks, etc.) Experience using production performance and/or availability software such as AppDynamics, Dynatrace, Adobe Analytics, Amazon CloudWatch, Splunk or Graphite. Experience testing applications that integrate with other systems through RESTful API's preferred. Experience with test management tools such as qTest, ALM, TFS, or similar tools preferred. Experience in Agile software development methodology and using tools such as Rally, Jira, TFS, or ServiceNow required. Strong expertise in JavaScript, C#, TypeScript, or other applicable languages as needed. Experience with API testing frameworks such as Karate, Gatling, JMeter, or Postman preferred. Solid understating of networks especially load balancers. Excellent written and verbal skills. Be a hands-on problem solver. Have extensive knowledge of performance engineering and understanding what makes applications, databases and systems performant and scalable. Be a self-starter with the ability to deliver on time with quality and handle multiple tasks simultaneously. Must be willing to work off hours. The ability to have a futuristic view, planning and preparing for all the performance needs of the enterprise. MINIMUM QUALIFICATIONS: Comparable industry experience. 5 years of software test automation experience with a focus on building and maintaining performance frameworks Immediate - serving NP Show more Show less

Website http://www.intraedge.com QA Engineer Experience-5+ Notice period-max 15 days Location -Gurugram Job Summary: We are seeking a highly skilled Senior QA Engineer to join our dynamic team. This role will be responsible for validating the quality, performance, and reliability of our APIs, backend systems, and cloud-integrated applications. You will work closely with developers, product managers, and operations teams to ensure defect-free, scalable, and secure releases. Key Responsibilities: Design, develop, and execute test plans and test cases for API testing, with a focus on functional, integration, and regression testing. Perform SQL-based data validation across complex databases to ensure data integrity. Utilize UNIX/Linux commands and scripting to perform backend verifications, log analysis, and environment checks. Collaborate with cross-functional teams to ensure requirements are clearly understood and testable. Participate in sprint planning, reviews, and daily stand-ups within Agile/Scrum environments. Identify, document, and track bugs using standard bug tracking tools. Contribute to continuous improvement of QA processes and automation frameworks (if applicable). Provide QA support during production releases and post-release validations. Required Skills & Qualifications: 5+ years of experience in software quality assurance. Strong experience with API testing tools such as Postman, REST Assured, or SoapUI. Proficiency in writing and executing complex SQL queries. Experience working with UNIX/Linux environments for log review and backend verification. Deep understanding of QA methodologies, testing types, and best practices. Excellent analytical and problem-solving skills. Strong communication skills and ability to work in a team-oriented, collaborative environment. Nice to Have: Experience with Google Cloud Platform (GCP) or other cloud systems. Exposure to Big Data platforms and technologies. Familiarity with Adobe Workfront and Adobe Experience Cloud / Personalization products. Test automation experience with tools like Selenium, Cypress, or any CI/CD integrations. Familiarity with performance and security testing. Show more Show less

We are looking for a highly skilled Engineer with a solid experience of building Bigdata, GCP Cloud based marketing ODL applications. The Engineer will play a crucial role in designing, implementing, and optimizing data solutions to support our organization’s data-driven initiatives. This role requires expertise in data engineering, strong problem-solving abilities, and a collaborative mindset to work effectively with various stakeholders. Responsibilities: Proficiency in using GCP’s big data tools like: BigQuery: For data warehousing and SQL analytics. Dataproc: For running Spark and Hadoop clusters. Expertise in building automated, scalable, and reliable pipelines using custom Python/Scala solutions or Cloud Data Functions. Strong coding skills in SQL, and Java. Familiarity with APIs and SDKs for GCP services to build custom data solutions. Understanding of GCP services such as Cloud Storage, Compute Engine, and Cloud Functions. Familiarity with Kubernetes (GKE) and containerization for deploying data pipelines. (Optional but Good to have) Experience setting up CI/CD pipelines using Cloud Build, GitHub Actions, or other tools. Monitoring and logging tools like Cloud Monitoring and Cloud Logging for production workflows. Preferred Skills: Ability to think creatively and design innovative solutions for complex data challenges. Experience in prototyping and experimenting with cutting-edge GCP tools or third-party integrations. Strong analytical mindset to transform raw data into actionable insights. Ability to collaborate effectively with data analysts, and business stakeholders. Strong verbal and written communication skills to explain technical concepts to non-technical audiences. Open to exploring new GCP features and rapidly adapting to changes in cloud technology. Show more Show less

Job Description: Engineer - Mobile App Position: Engineer - Mobile App Experience Required: 3-5 years Location: Pune Employment Type: Full-time Work Mode: Hybrid (On-site presence required for a few days a week, with potential for an increase in on-site days) Job Summary: We are looking for a skilled Mobile App Developer with expertise in cross-platform development for iOS and Android, primarily using Flutter along with some native app development. The ideal candidate should have strong problem-solving abilities, excellent communication skills, and the ability to adapt quickly in a fast-paced environment. Key Requirements: Technical Skills: Previous exposure to large-scale systems design. Experience with IoT and API dependencies. Experience in a remote software development environment. Strong notions of security best practices. Flutter Development: 2+ years of experience. Native App Development (iOS/Android): 1+ years of experience. Software Lifecycle, Reusability, and Scalability: 2+ years of experience. Architecture Patterns for Mobile App Development: 1+ years of experience. Good knowledge of RxDart and Streams in general Having experience in any Native Language knowledge to build custom Flutter Packages. Experience with Firebase: Push Notifications, Cloud Functions and Analytics. CI/CD Pipelines and Related Experience: 1+ years of experience. Team Collaboration (not individual delivery): 2+ years of experience. Database and Related Integration: 1+ years of experience. Networking Layer and Security Aspects: 2+ years of experience. App Release Process: Must have been involved in at least one project release. Soft Skills: Strong communication skills . Excellent problem-solving abilities . Quick learning and adaptability . Ability to work in a hybrid model , with on-site presence required for a few days a week, potentially increasing in the future . Additional Preferred Skills: Knowledge of Agile processes . Experience with Unit Testing . Understanding of AI Tools (considered an advantage). Responsibilities: Develop and maintain cross-platform mobile applications using Flutter. Collaborate with the team to design, develop, and implement scalable and reusable mobile applications. Work with CI/CD pipelines for continuous integration and deployment. Optimize mobile applications for performance, scalability, and security . Ensure smooth database integration and efficient networking layers. Participate in code reviews , debugging, and troubleshooting. Stay updated with the latest industry trends and emerging technologies in mobile app development. Show more Show less

Embedded Software Engineering Manager Location: Pune Department: Embedded Systems / R&D Reports To: Global FW Director + Pune Technical Head Job Summary: This leadership role is critical in aligning execution with product goals, optimizing workflows, and ensuring on-time delivery of high-quality firmware. While not hands-on coding, this role demands strong technical insight and cross-functional collaboration. Key Responsibilities: - Lead and manage two embedded software teams: Embedded Linux / Yocto, Application firmware for microcontrollers, Connectivity SDKs (Wi-Fi, BLE, etc.) - Define and optimize development workflows, tools, and cross-team processes. - Drive effective communication between Embedded, Product, Cloud, and Mobile teams. - Track and ensure progress, unblock teams, and ensure timely, high-quality deliveries. - Establish and monitor KPIs for efficiency, quality, and velocity. - Drive continuous improvements in engineering processes and collaboration. - Plan and distribute workload appropriately, anticipating future resourcing needs. - Contribute to roadmap planning and capacity alignment. - Represent embedded teams in cross-functional planning and strategy discussions. Required Qualifications: - Bachelor's in Embedded Systems, Electronics, or related field. - 20+ years of experience - 10+ years of experience in coding/development in embedded Linux software development and 10 years of management; microcontroller experience is a plus. - Proven experience leading multiple embedded development teams (10+ developers). - Strong knowledge of Linux/Yocto; familiarity with RTOS and microcontrollers beneficial. - Proficiency in Agile/Scrum and modern development practices (CI/CD, DevOps). - Solid understanding of connectivity protocols (Wi-Fi, BLE) and integration with cloud/mobile apps. - Strong planning, organizational, and communication skills. - Experience scaling and managing multi-skilled engineering teams. Technical Skills (Hard Skills): - Embedded Linux Expertise: Linux kernel, drivers, Yocto/Buildroot, U-Boot, device trees. - Platform Knowledge: Hands-on experience with NXP i.MX8 SoCs and BSP integration. - Toolchain & Debugging: Cross-compilation, GCC, GDB, JTAG, Lauterbach. - Version Control & CI/CD: Advanced Git workflows, CI/CD tools (GitLab CI, Jenkins, Buildkite). - Architecture & Quality: Modular design, real-time constraints, test automation, static analysis. - Security & Compliance: Secure boot, TEE, firmware updates, GPL/LGPL, SBOM. Leadership & Soft Skills: - Technical Leadership: Guide architecture and conduct design/code reviews. - Team Facilitation: Lead Agile ceremonies, resolve blockers, support team dynamics. - Communication: Translate technical details into business context; liaise with hardware, QA, and PM. - Decision Making: Prioritize under pressure, balance delivery with tech debt. - Mentorship: Coach junior engineers, foster continuous learning. - Adaptability & Conflict Resolution: Manage changing priorities and resolve conflicts constructively. Show more Show less

We are giving preference to candidates who are available to join immediately or within the month of June. Machine Learning Engineer (Python, AWS) We are seeking an experienced Machine Learning Engineer with 5+ years of hands-on experience in developing and deploying ML solutions. The ideal candidate will have strong Python programming skills and a proven track record working with AWS services for machine learning. Responsibilities: Design, develop, and deploy scalable machine learning models. Implement and optimize ML algorithms using Python. Leverage AWS services (e.g., Sagemaker, EC2, S3, Lambda) for ML model training, deployment, and monitoring. Collaborate with data scientists and other engineers to bring ML solutions to production. Ensure the performance, reliability, and scalability of ML systems. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of professional experience as a Machine Learning Engineer. Expertise in Python programming for machine learning. Strong experience with AWS services for ML (SageMaker, EC2, S3, Lambda, etc.). Solid understanding of machine learning algorithms and principles. Experience with MLOps practices is a plus. Show more Show less

Experience Range - 4+ Years Location - Hyderabad & Pune Primary Skills - Java, Spring Boot, Microservices, React Key Responsibilities: Design, develop, and maintain high-quality backend services using Java, Spring Boot, Hibernate, and Microservices architecture. Build responsive and dynamic user interfaces with React.js . Develop RESTful APIs and ensure seamless integration between front-end and back-end systems. Write clean, maintainable, and efficient code following best practices. Participate in the full software development lifecycle including requirement gathering, analysis, design, implementation, testing, and deployment. Collaborate with cross-functional teams including product managers, designers, QA engineers, and DevOps. Troubleshoot, debug, and optimize existing systems. Apply strong problem-solving skills, focusing on data structures, algorithms, and design patterns. Ensure adherence to OOP principles and scalable architecture designs. Required Skills & Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field. 4+ years of professional experience in software development. Strong hands-on experience with: Java , Spring Boot , Hibernate , and Microservices React.js for building user-facing applications REST APIs Solid understanding of Data Structures , Algorithms , and OOP Concepts . Experience with version control systems like Git. Familiarity with build tools and CI/CD pipelines. Excellent debugging and problem-solving skills. Strong communication and teamwork abilities. Show more Show less

Job Summary We are seeking a skilled and detail-oriented Salesforce Release Manager to oversee and coordinate the end-to-end release management process for our Salesforce platform. This role is pivotal in ensuring the seamless deployment of Salesforce applications, configurations, and updates across multiple environments, aligning with business objectives, compliance standards, and operational excellence. Key Responsibilities: Release Planning & Coordination • Develop and maintain comprehensive release schedules, aligning with business priorities and technical dependencies. • Collaborate with cross-functional teams, including development, QA, Solution Architect and Functional Analysts, to define release requirements and timelines. • Coordinate release activities across various Salesforce environments (Development, UAT, Production, Hotfix, SIT), ensuring synchronization and minimal disruption. Deployment Management • Oversee the deployment process, including metadata and data migrations, code deployments, and configuration changes. • Utilize deployment tools such as Salesforce DX, Change Sets, VS Code and Gearset to facilitate smooth and efficient releases. • Ensure thorough regression testing is conducted in sandbox environments before production deployments. Change & Configuration Management • Implement and enforce change control processes to maintain the integrity and stability of the Salesforce environment. • Manage version control in GitHub and configuration management practices, ensuring consistency across all environments. • Troubleshoot and resolve deployment-related issues, collaborating with technical teams to implement corrective actions. • Conduct post-release reviews to identify areas for improvement and prevent recurrence of issues. Documentation • Maintain detailed release documentation, including deployment plans, release notes, and rollback procedures. • Provide training and support to team members as needed. • Recommend and implement process improvements to increase efficiency, reduce errors, and streamline release cycles. • Foster a culture of collaboration and continuous learning within the release management team. Qualifications Required • Bachelor's degree in Computer Science, Information Technology, or a related field. • Proven experience as a Salesforce Release Manager or in a similar role within a Salesforce environment. • In-depth knowledge of Salesforce development, configuration, and deployment processes. • Experience with Salesforce deployment tools (e.g., Salesforce DX, Change Sets, Gearset, Copado). • Strong understanding of version control systems and branching strategies. • Familiarity with Agile methodologies and ITIL or other IT service management frameworks. • Excellent communication, organizational, and problem-solving skills. Preferred • Salesforce certifications (e.g., Salesforce Certified Administrator, Salesforce Certified Platform App Builder). • Experience in managing releases in a multi-org Salesforce environment Show more Show less

We are looking for energetic, high-performing and highly skilled Java + Big Data Engineers to help shape our technology and product roadmap. You will be part of the fast-paced, entrepreneurial Enterprise Personalization portfolio focused on delivering the next generation global marketing capabilities. This team is responsible for building products that power Merchant Offers personalization for Amex card members. Job Description: - Demonstrated leadership in designing sustainable software products, setting development standards, automated code review process, continuous build and rigorous testing etc - Ability to effectively lead and communicate across 3rd parties, technical and business product managers on solution design - Primary focus is spent writing code, API specs, conducting code reviews & testing in ongoing sprints or doing proof of concepts/automation tools - Applies visualization and other techniques to fast track concepts - Functions as a core member of an Agile team driving User story analysis & elaboration, design and development of software applications, testing & builds automation tools - Works on a specific platform/product or as part of a dynamic resource pool assigned to projects based on demand and business priority - Identifies opportunities to adopt innovative technologies Qualification: - Bachelor's degree in computer science, computer engineering, other technical discipline, or equivalent work experience - 5+ years of software development experience - 3-5 years of experience leading teams of engineers - Demonstrated experience with Agile or other rapid application development methods - Demonstrated experience with object-oriented design and coding - Demonstrated experience on these core technical skills (Mandatory) - Core Java, Spring Framework, Java EE - Hadoop Ecosystem (HBase, Hive, MapReduce, HDFS, Pig, Sqoop etc) - Spark - Relational Database (PostGreS / MySQL / DB2 etc) - Data Serialization techniques (Avro) - Cloud development (Micro-services) - Parallel & distributed (multi-tiered) systems - Application design, software development and automated testing - Demonstrated experience on these additional technical skills (Nice to Have) - Unix / Shell scripting - Python / Scala - Message Queuing, Stream processing (Kafka) - Elastic Search - AJAX tools/ Frameworks. - Web services , open API development, and REST concepts - Experience with implementing integrated automated release management using tools/technologies/frameworks like Maven, Git, code/security review tools, Jenkins, Automated testing and Junit. Show more Show less

Machine Learning Engineer (Python, AWS) We are seeking an experienced Machine Learning Engineer with 5+ years of hands-on experience in developing and deploying ML solutions. The ideal candidate will have strong Python programming skills and a proven track record working with AWS services for machine learning. Responsibilities: Design, develop, and deploy scalable machine learning models. Implement and optimize ML algorithms using Python. Leverage AWS services (e.g., Sagemaker, EC2, S3, Lambda) for ML model training, deployment, and monitoring. Collaborate with data scientists and other engineers to bring ML solutions to production. Ensure the performance, reliability, and scalability of ML systems. Qualifications: Bachelor's or master's degree in computer science, Engineering, or a related field. 5+ years of professional experience as a Machine Learning Engineer. Expertise in Python programming for machine learning. Strong experience with AWS services for ML (SageMaker, EC2, S3, Lambda, etc.). Solid understanding of machine learning algorithms and principles. Experience with MLOps practices is a plus. Show more Show less

Job Summary: We are seeking a highly skilled Senior QA Engineer to join our dynamic team. This role will be responsible for validating the quality, performance, and reliability of our APIs, backend systems, and cloud-integrated applications. You will work closely with developers, product managers, and operations teams to ensure defect-free, scalable, and secure releases. Key Responsibilities: Design, develop, and execute test plans and test cases for API testing, with a focus on functional, integration, and regression testing. Perform SQL-based data validation across complex databases to ensure data integrity. Utilize UNIX/Linux commands and scripting to perform backend verifications, log analysis, and environment checks. Collaborate with cross-functional teams to ensure requirements are clearly understood and testable. Participate in sprint planning, reviews, and daily stand-ups within Agile/Scrum environments. Identify, document, and track bugs using standard bug tracking tools. Contribute to continuous improvement of QA processes and automation frameworks (if applicable). Provide QA support during production releases and post-release validations. Required Skills & Qualifications: 5+ years of experience in software quality assurance. Strong experience with API testing tools such as Postman, REST Assured, or SoapUI. Proficiency in writing and executing complex SQL queries. Experience working with UNIX/Linux environments for log review and backend verification. Deep understanding of QA methodologies, testing types, and best practices. Excellent analytical and problem-solving skills. Strong communication skills and ability to work in a team-oriented, collaborative environment. Nice to Have: Experience with Google Cloud Platform (GCP) or other cloud systems. Exposure to Big Data platforms and technologies. Familiarity with Adobe Workfront and Adobe Experience Cloud / Personalization products. Test automation experience with tools like Selenium, Cypress, or any CI/CD integrations. Familiarity with performance and security testing. Show more Show less

Website http://www.intraedge.com Job Title: Data Analyst – Data Quality & Cost Allocation Location: Chennai Job Type: Full Time Job Summary: We are seeking a detail-oriented Data Analyst to join our team and drive improvements in data quality, consistency, and reliability. This role involves defining data validation processes, conducting manual data reviews, aligning data from various providers, and supporting infrastructure and cost allocation analysis. The ideal candidate has a strong understanding of data management practices, cost allocation methodologies, and infrastructure inventory or capacity data. Key Responsibilities: Define and implement data validation processes to ensure data integrity across multiple systems and sources. Perform manual data reviews to identify discrepancies, inconsistencies, and outliers. Review and align data sources with data providers, ensuring consistency and standardization. Ensure adherence to data quality standards , including accuracy, completeness, timeliness, and consistency. Conduct gap analyses and recommend scalable solutions to improve data quality and reduce manual intervention. Collaborate with cross-functional teams including IT, Finance, and Operations to identify data issues and opportunities for improvement. Design and maintain reporting dashboards and metrics to track data quality and cost allocation accuracy. Analyze infrastructure inventory and capacity data to support cost allocation decisions and optimization efforts. Document data lineage and quality processes , and contribute to the development of data governance frameworks. Required Qualifications: Bachelor's degree in Data Science, Information Systems, Business, Finance, or a related field. 3+ years of experience in data analysis, data quality, or data governance roles. Solid experience with data validation techniques and data profiling . Working knowledge of cost allocation methodologies and infrastructure/inventory capacity data. Proficient in data tools such as Excel, SQL, Power BI/Tableau , and data quality tools (e.g., Talend, Informatica). Strong analytical, problem-solving, and critical thinking skills. Ability to work independently and manage multiple priorities in a dynamic environment. Excellent communication skills with the ability to liaise between technical and non-technical stakeholders. Thanks & Regards, Divya Dixit Recruitment Lead Show more Show less

Job Title: UX/Product Designer – Front-end Tooling & Data Visualization Location: Chennai, India Department: Product Design/UX Reports To: Product Manager/Head of Design Type: Full-time Job Summary We are seeking a UX/Product Designer to lead the design and user experience for internal front-end tooling, with a particular emphasis on data visualization, software inventory, and contract management tools. You will play a key role in assessing tooling needs, crafting user journeys, defining visual reporting interfaces, and shaping MVP-ready design specifications for frontend teams. Key Responsibilities Tooling Assessment: Analyze current front-end tooling landscape and identify design and UX gaps for technical and business users. UX Research & Design: Conduct stakeholder interviews and user research to understand workflows, pain points, and reporting needs. Design intuitive user journeys that guide users through complex software inventory and contract management tasks. Visual Reporting Design: Create dashboards and reports for rich data visualization, ensuring clarity, usability, and responsiveness. Work with engineering and data teams to align visual designs with available data and metrics. MVP Definition: Define front-end requirements and UX scope for MVP launches in collaboration with product managers and developers. Develop wireframes, prototypes, and design documentation for quick iteration and feedback loops. Collaboration: Work closely with front-end engineers, product owners, and business analysts to implement and refine designs. Conduct design reviews, user testing, and incorporate feedback to improve usability and performance. Design System Compliance: Ensure UI/UX adheres to brand and accessibility standards, and promote consistency across platforms. Required Qualifications 5+ years of UX/Product Design experience, ideally in enterprise tooling or data-heavy applications. Proven experience designing dashboards, reporting tools, or admin interfaces. Strong proficiency with design tools (e.g., Figma, Sketch, Adobe XD) and prototyping tools (e.g., InVision, Axure). Experience with designing for complex workflows and enterprise applications. Strong understanding of HTML/CSS fundamentals and familiarity with front-end development practices. Ability to translate user needs into elegant, functional user interfaces. Excellent communication and presentation skills. Show more Show less

Role - Data Engineer (Backend Java & Python) Location - Chennai Work Modal - Hybrid We are looking for a highly skilled Backend Data Engineer to join our growing FinTech team. In this role, you will design and implement robust data models and architectures, build scalable data ingestion pipelines, and ensure data quality across financial datasets. You will play a key role in enabling data-driven decision-making by developing efficient and secure data infrastructure tailored to the fast-paced FinTech environment. Key Responsibilities: Design and implement scalable data models and data architecture to support financial analytics, risk modeling, and regulatory reporting. Build and maintain data ingestion pipelines using Python or Java to process high-volume, high-velocity financial data from diverse sources. Lead data migration efforts from legacy systems to modern cloud-based platforms. Develop and enforce data validation processes to ensure accuracy, consistency, and compliance with financial regulations. Create and manage task schedulers to automate data workflows and ensure timely data availability. Collaborate with product, engineering, and data science teams to deliver reliable and secure data solutions. Optimize data processing for performance, scalability, and cost-efficiency in a cloud environment. Required Skills & Qualifications: Proficiency in Python and/or Java for backend data engineering tasks. Strong experience in data modelling , ETL/ELT pipeline development , and data architecture . Hands-on experience with data migration and transformation in financial systems. Familiarity with task scheduling tools (e.g., Apache Airflow, Cron, Luigi). Solid understanding of SQL and experience with relational and NoSQL databases. Knowledge of data validation frameworks and best practices in financial data quality. Experience with cloud platforms (AWS, GCP, or Azure), especially in data services. Understanding of data security , compliance , and regulatory requirements in FinTech. Preferred Qualifications: Experience with big data technologies (e.g., Spark, Kafka, Hadoop). Familiarity with CI/CD pipelines , containerization (Docker), and orchestration (Kubernetes). Exposure to financial data standards (e.g., FIX, ISO 20022) and regulatory frameworks (e.g., GDPR, PCI-DSS). Show more Show less

Job Title: Technical Project Manager/Product Manager – BI Tooling & Data Visualization Location: Remote Job Summary: We are seeking a dynamic and results-driven Technical Project Manager / Product Manager to lead the execution and delivery of business intelligence (BI) tooling and data visualization solutions. The ideal candidate will manage end-to-end product lifecycles, own backlog prioritization, collaborate with partner teams to ensure cohesive user journeys, and define the next phase of reporting capabilities. This role will also be instrumental in conducting tooling assessments, managing POCs, and supporting stakeholder engagement and communication. Key Responsibilities: Execution & Delivery: Drive the successful execution of BI and data visualization projects from concept to delivery. Define and manage project plans, timelines, risks, and dependencies. Coordinate cross-functional teams including engineering, design, data engineering, and analytics. Product Management & Backlog Ownership: Own the product backlog for BI tooling and reporting solutions. Gather, document, and prioritize requirements from multiple business stakeholders. Ensure alignment between business needs and technical execution. Conduct sprint planning, backlog grooming, and reviews. Tooling & POC Management: Lead the assessment and evaluation of BI tools (e.g., Tableau, Power BI, Looker, etc.). Manage and track Proofs of Concept (POCs) for new tools or features. Make data-driven recommendations for tool selection and capability expansion. User Journey & Experience Cohesion: Collaborate with partner product and engineering teams to align user journeys across data and analytics products. Identify and resolve user experience gaps and inconsistencies. Reporting & Data Capabilities: Define and prioritize Phase 2 reporting capabilities, ensuring scalability and user-centric design. Translate complex data requirements into actionable product features and specifications. Stakeholder Engagement: Serve as the primary point of contact for BI-related initiatives with internal stakeholders. Maintain strong communication and manage expectations across business units and leadership. Provide regular updates, dashboards, and documentation to communicate progress and impact. Required: 6+ years of experience in technical project or product management roles, ideally in BI or analytics-focused environments. Proven experience with agile methodologies, backlog management, and sprint execution. Strong understanding of BI tools (e.g., Tableau, Power BI, Looker) and data pipelines. Demonstrated experience managing complex cross-functional projects and tool assessments. Excellent written and verbal communication, with strong stakeholder management skills. Preferred: Experience in data engineering, data governance, or enterprise analytics platforms. Familiarity with SQL and data modeling concepts. Experience working in a global and matrixed organization. PMP, CSM, or SAFe certification is a plus Show more Show less

Job Summary: We are seeking a skilled Data Engineer with PowerBI and Data Modeling expertise to maintain and enhance existing PowerBI dashboards, optimize the semantic data model, and support the migration of data models to a more abstract transformation layer. This role requires a strong understanding of PowerBI architecture, data modeling best practices, and performance optimization techniques to ensure reliable, scalable, and accurate data delivery to stakeholders. Key Responsibilities: Maintain and enhance existing PowerBI dashboards ensuring business continuity and data accuracy. Support the migration of current data models to an abstracted transformation layer (e.g., Azure Data Factory, SQL, Synapse, etc.). Optimize the current PowerBI semantic model for performance, scalability, and maintainability. Ensure efficient and secure connections between PowerBI and various data sources (SQL Server, Azure, etc.). Collaborate with business stakeholders, analysts, and developers to gather requirements and translate them into effective data models and visualizations. Identify and resolve data quality and performance issues. Implement best practices for PowerBI dataset management, including incremental refresh, dataflows, and reusable components. Document data models, transformations, and dashboard logic for internal use and knowledge sharing. Required Qualifications: 5+ years of experience in data engineering and BI development, with a strong focus on PowerBI. Expertise in PowerBI Desktop, Service, and the PowerBI ecosystem (Dataflows, DAX, Gateways, etc.). Deep understanding of semantic modeling concepts including star/snowflake schema, measures, calculated columns, relationships, etc. Experience with optimizing PowerBI reports for performance (query folding, aggregation tables, performance analyzer). Strong SQL skills and experience with ETL/ELT tools (e.g., Azure Data Factory, SSIS, or similar). Familiarity with cloud-based data platforms (Azure Synapse, Data Lake, Databricks, etc.). Excellent problem-solving and communication skills Show more Show less

Any Bachelor BE/BSc IT/BTech /MCA Must have experience administer and maintain various CI/CD tools like Jenkins, Artifactory, Docker, Ansible, OpenShift Must have experience working with builds and deployments of various programing languages like Java, Node. JS, Python. Nice to have experience with .Net &Go source code. Must have extensive experience working with build and package management tools like Maven, Gradle, Npm, Yarn & pip Good to have experience with scan tools like Nexus IQ, SonarQube / Check marx, Prisma Good to have experience with Functional, API and performance test automation tools. Must have experience with Git and GitHub Enterprise Administration. Must have experience working with enterprise standard GitHub workflows & Re-usable workflows Must have experience writing and understanding Custom GitHub Actions & re-usable workflows. Experience working closely with application developers help them on-board onto CI/CD tools and build and deploy their code through production Show more Show less

Job description Location: Pune (Hybrid) Experience: 3+ years Employment Type: Full-Time Job Summary: We are seeking a skilled and proactive TOSCA Automation Specialist with 3 plus years of hands-on experience in test automation. The ideal candidate will be proficient in TOSCA automation and well-versed in all aspects of software testing, including functional, non-functional, mobile, and API testing. A strong understanding of SDLC and STLC processes, along with excellent communication and knowledge transition skills, is essential. Key Responsibilities: Design, develop, and execute automation scripts using TOSCA. Create and maintain comprehensive test documentation, including Test Plans, Test Scenarios, Test Cases, Test Data, and Defect Reports . Perform Functional, Non-Functional, Regression, as required. Develop and execute API automation scripts and validate integrations. Collaborate with development and QA teams across all phases of SDLC and STLC . Prepare end-user training materials and user guide presentations (PPTs) for all modules. Generate and maintain Daily Status Reports (DSR) and Weekly Status Reports (WSR) to keep stakeholders informed of progress and issues. Exhibit a solutions-oriented mindset and participate actively in knowledge-sharing and transition activities. Demonstrate excellent interpersonal and communication skills , with a focus on improving efficiency and maintaining consistency across QA processes. Key Skills: Strong hands-on experience with TOSCA Test Automation Suite Good understanding of testing methodologies and QA best practices Experience in API automation testing Proficient in preparing detailed test documentation and reporting Exposure to Agile and Waterfall project environments Excellent analytical, problem-solving, and troubleshooting skills Strong documentation and presentation skills Preferred Qualifications: Bachelors degree in Computer Science, Information Technology, or a related field TOSCA Certification (preferred but not mandatory) Experience in Agile environments and tools like JIRA, Confluence, etc. Show more Show less

Website http://www.intraedge.com Cloud Data Engineer(GCP) Experience-4+ Notice period-max 15 days Location -Gurugram(Hybrid) We are looking for a highly skilled Engineer with a solid experience of building Bigdata, GCP Cloud based marketing ODL applications. The Engineer will play a crucial role in designing, implementing, and optimizing data solutions to support our organization’s data-driven initiatives. This role requires expertise in data engineering, strong problem-solving abilities, and a collaborative mindset to work effectively with various stakeholders. Technical Skills 1. Core Data Engineering Skills Proficiency in using GCP’s big data tools like: BigQuery : For data warehousing and SQL analytics. Dataproc : For running Spark and Hadoop clusters. Expertise in building automated, scalable, and reliable pipelines using custom Python/Scala solutions or Cloud Data Functions . 2. Programming and Scripting Strong coding skills in SQL , and Java . Familiarity with APIs and SDKs for GCP services to build custom data solutions. 3. Cloud Infrastructure Understanding of GCP services such as Cloud Storage , Compute Engine , and Cloud Functions . Familiarity with Kubernetes (GKE) and containerization for deploying data pipelines. (Optional but Good to have) 4. DevOps and CI/CD Experience setting up CI/CD pipelines using Cloud Build , GitHub Actions , or other tools. Monitoring and logging tools like Cloud Monitoring and Cloud Logging for production workflows. Soft Skills 1. Innovation and Problem-Solving Ability to think creatively and design innovative solutions for complex data challenges. Experience in prototyping and experimenting with cutting-edge GCP tools or third-party integrations. Strong analytical mindset to transform raw data into actionable insights. 2. Collaboration Teamwork: Ability to collaborate effectively with data analysts, and business stakeholders. Communication: Strong verbal and written communication skills to explain technical concepts to non-technical audiences. 3. Adaptability and Continuous Learning Open to exploring new GCP features and rapidly adapting to changes in cloud technology. Show more Show less