Vy Systems
https://vysystems.comAbout
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• Pega Certified Lead with hands-on understanding of Pega Build, Design, Architecture
• Innovative zest for creating Intellectual Properties, Accelerators and solutions which can impact business value on Applications.
• Thorough understanding of current and future technology trends and ability to leverage them with minimum interventions and creating cost-effective value propositions with winning themes to make definite GTM impact.
• Participate in short-term consulting engagements and pre-sales assessments/workshops
• Collaborates with sales, delivery, technical and vertical teams to ensure proposed deals include technical solutions, winning themes that accurately address customer needs
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MongoDBJob Description:
🛠️ Key Responsibilities:
- Lead & manage performance engineering initiatives and guide team members.
- Define performance goals aligned with overall organizational objectives.
- Conduct performance reviews and identify improvement areas.
- Develop and execute comprehensive performance testing strategies.
- Analyze test results, highlight bottlenecks, and propose optimization solutions.
- Work closely with project managers for seamless integration of performance testing.
- Collaborate with developers to troubleshoot and resolve issues.
- Stay updated on industry performance engineering trends and best practices.
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nineone5zerozero33five2three
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Job Summary:
Seeking an experienced Senior Data Engineer to lead data ingestion, transformation, and optimization initiatives using the modern Apache and Azure data stack. The role involves working on scalable pipelines, large-scale distributed systems, and data lake management.
Core Responsibilities:
· Build and manage high-volume data pipelines using Spark/Databricks.
· Implement ELT frameworks using Azure Data Factory/Synapse Pipelines.
· Optimize large-scale datasets in Delta/Iceberg formats.
· Implement robust data quality, monitoring, and governance layers.
· Collaborate with Data Scientists, Analysts, and Business stakeholders.
Technical Stack:
· Big Data: Apache Spark, Kafka, Hive, Airflow, Hudi/Iceberg
· Cloud: Azure (Synapse, ADF, ADLS Gen2), Databricks, AWS (Glue/S3)
· Languages: Python, Scala, SQL
· Storage Formats: Delta Lake, Iceberg, Parquet, ORC
· CI/CD: Azure DevOps, Terraform (infra as code), Git
Senior Data Engineer (Apache Stack + Databricks/Synapse)
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Javascript
Angular (2+)Job Summary:
Core Technical Skills
Strong JavaScript OR TypeScript experience (minimum 2 years)
Angular OR good balance of JS/TS + Angular skills
Understanding of HTTP requests & web technologies
Hands-on project experience in JavaScript ecosystem
Good to have (not mandatory):
Node.js
XPath
Puppeteer
Automation scripting exposure
Coding & Development Skills
Building and maintaining UI components
Writing clean, maintainable code
- Debugging & troubleshooting in production/test environments
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Job Description:
We are seeking an experienced Cognos Developer with strong expertise in Cognos Analytics 11 (C11) to design, develop, and maintain interactive dashboards and reports. The ideal candidate will work closely with business stakeholders to translate requirements into scalable BI solutions, leveraging Cognos Framework Manager, Report Studio, and Dashboard capabilities.
Key Responsibilities:
- Develop and maintain reports and dashboards using Cognos C11.
- Work with stakeholders to gather and analyze reporting requirements.
- Design data models and metadata using Framework Manager.
- Optimize report performance and troubleshoot issues.
- Ensure data accuracy and report integrity.
Required Skills:
- 3+ years of experience with IBM Cognos (preferably C11).
- Proficient in creating dashboards, visualizations, and reports.
- Strong SQL and data analysis skills.
- Experience with Framework Manager and Data Modules.
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Position: Deputy Manager / Assistant Manager & Below
Location: Gurgaon (Onsite)
Employment Type: Full-Time Employee (FTE)
Function: TMT-CST-EE – Cybersecurity Strategy & Third-Party Risk
Minimum Qualification & Requirements:
- BE / BTech (Engineering or equivalent field)
- 6–10 years of relevant experience in one or more of the following:
- SOC Reporting
- Third-Party Risk Management (TPRM)
- ITDR / ITGC
- Cloud Security
- Governance, Risk & Compliance (GRC)
- Prior experience with a Big 4 or similar consulting firm is highly desirable
- Strong verbal and written communication skills
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.NETAngular (2+)
C#
DockerJob Description: .NET Core Developer with C# and Angular
We are looking for a skilled .NET Core Developer with experience in C# and Angular to design, develop, and maintain web applications. You will work on both the front-end and back-end, delivering high-quality solutions in a collaborative environment.
Key Responsibilities:
- Develop and maintain web applications using .NET Core, C#, and Angular.
- Design and implement RESTful APIs and integrate with front-end components.
- Ensure application performance, scalability, and security.
- Collaborate with cross-functional teams to define and deliver software features.
- Troubleshoot, debug, and optimize code.
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Key Responsibilities:
- Build and Automation: Utilize Gradle for building and automating software projects. Ensure efficient and reliable build processes.
- Scripting: Develop and maintain scripts using Python and Shell scripting to automate tasks and improve workflow efficiency.
- CI/CD Tools: Implement and manage Continuous Integration and Continuous Deployment (CI/CD) pipelines using tools such as Harness, Github Actions, Jenkins, and other relevant technologies. Ensure seamless integration and delivery of code changes.
- Cloud Platforms: Demonstrate proficiency in working with cloud platforms including OpenShift, Azure, and Google Cloud Platform (GCP). Deploy, manage, and monitor applications in cloud environments.
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Python
Machine Learning (ML)Key Responsibilities:
- Develop and maintain scalable Python applications for AI/ML projects.
- Design, train, and evaluate machine learning models for classification, regression, NLP, computer vision, or recommendation systems.
- Collaborate with data scientists, ML engineers, and software developers to integrate models into production systems.
- Optimize model performance and ensure low-latency inference in real-time environments.
- Work with large datasets to perform data cleaning, feature engineering, and data transformation.
- Stay current with new developments in machine learning frameworks and Python libraries.
- Write clean, testable, and efficient code following best practices.
- Develop RESTful APIs and deploy ML models via cloud or container-based solutions (e.g., AWS, Docker, Kubernetes).
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