Sales Executive (Course Counselor)

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines.
• Build and optimize data architectures, data lakes, and warehousing solutions.
• Integrate data from multiple APIs, databases, and third-party systems.
• Ensure data quality, consistency, security, and reliability across systems.
• Develop automated workflows for data ingestion, transformation, and validation.
• Work with structured and unstructured datasets at scale.
• Optimize SQL queries and database performance.
• Collaborate with backend, analytics, and AI teams for data-driven solutions.
• Monitor pipelines and troubleshoot production issues.
• Implement logging, monitoring, and alerting mechanisms for data systems.
• Maintain proper technical documentation and workflow diagrams.

Required Skills & Qualifications

• 2+ years of experience as a Data Engineer or similar role.
• Strong proficiency in SQL and database design.
• Experience with relational and NoSQL databases such as:
• MySQL
• PostgreSQL
• MongoDB
• BigQuery / Redshift / Snowflake
• Hands-on experience with ETL tools and data pipeline development.
• Strong programming skills in at least one language:
• Python
• Node.js
• Java
• Experience with cloud platforms:
• AWS / GCP / Azure
• Familiarity with data orchestration tools:
• Airflow
• Prefect
• Dagster
• Understanding of APIs, webhooks, and real-time data processing.
• Experience with Git and CI/CD workflows.
• Knowledge of Docker and containerized deployments.
• Good understanding of data security and governance practices.

Preferred Qualifications

• Experience with Apache Spark, Kafka, or distributed processing systems.
• Exposure to AI/ML data pipelines.
• Knowledge of analytics and BI tools such as:
• Power BI
• Tableau
• Looker
• Experience working in startup or fast-paced product environments.
• Familiarity with microservices architecture.

What We Offer

• Opportunity to work on scalable and impactful data systems.
• Collaborative and growth-focused work environment.
• Exposure to AI, analytics, and cloud-native technologies.
• Flexible work culture and learning opportunities.
• Competitive salary and performance-based growth.

We're looking for a Senior Data Modeler to lead the design and evolution of our enterprise data warehouse, with a primary focus on transforming Guidewire (PolicyCenter, BillingCenter, ClaimCenter) and other insurance source system data into well-architected, analytics-ready models on Google BigQuery. This is a hands-on, high-autonomy role for someone who can own modeling decisions end-to-end — from source system analysis through to production-grade dimensional or Data Vault structures — with minimal oversight.

You'll work across multiple insurance lines of business (Property, Casualty, Financial Lines, Specialty) and partner closely with engineering, BI, and business stakeholders to ensure the data model is technically sound and supports reporting, actuarial, and analytics use cases.

Responsibilities:

• Design and own enterprise-scale data models across multiple insurance domains.
• Translate complex Guidewire schemas (PolicyCenter, BillingCenter, ClaimCenter) into governed warehouse structures.
• Apply appropriate modeling techniques including:
• Dimensional Modeling (Star/Snowflake)
• 3NF/Normalized Modeling
• Data Vault 2.0 (Hubs, Links, Satellites)
• Hybrid and Denormalized Models
• Model effective-dated and slowly changing insurance data, including policy versioning, endorsements, premium earning, and claims history.
• Design conformed dimensions and fact tables supporting Premium, Claims, and Billing reporting.
• Optimize BigQuery performance through partitioning, clustering, materialized views, query tuning, and cost-efficient schema design.
• Create and maintain ERDs, source-to-target mappings, data dictionaries, and lineage documentation.
• Collaborate with Data Engineers to ensure physical implementation aligns with logical models.
• Establish modeling standards and mentor team members through hands-on leadership.
• Independently drive solutions from ambiguous business requirements.
• Communicate modeling decisions and trade-offs to both technical and business stakeholders.

Required Skills & Experience:

• 7+ years of enterprise-scale Data Modeling experience.
• Strong Insurance domain expertise, preferably with Guidewire:
• PolicyCenter
• BillingCenter
• ClaimCenter
• Experience with alternative insurance platforms such as Duck Creek or Sapiens is also valuable.
• Deep expertise in:
• Dimensional Modeling (Kimball)
• 3NF Data Modeling
• Data Vault 2.0
• Denormalized Data Warehousing
• Strong BigQuery knowledge:
• Partitioning & Clustering
• Query Performance Optimization
• Cost-Aware Schema Design
• Expertise in modeling effective-dated and temporal data.
• Excellent communication and stakeholder management skills.
• Proven ability to lead through hands-on technical contributions.
• Ability to work independently with minimal supervision.

Nice to Have:

• Insurance premium calculations and reconciliation:
• Earned / Unearned / Written Premium
• GWP Reconciliation
• Premium Earning Schedules
• Knowledge of Guidewire data model patterns:
• Effective Dating
• FixedID / BranchID
• CDA / ODS Layers
• Experience with Data Vault automation tools.
• Exposure to Snowflake or Redshift.
• Experience mentoring Data Modelers and Data Engineers.

What Success Looks Like:

• Well-documented, scalable enterprise data models.
• Cost-efficient, high-performance modeling decisions.
• Improved modeling maturity across the team.
• Strong stakeholder confidence in the data architecture and design decisions.

Key Responsibilities

• Design, implement, and maintain CI/CD pipelines using Azure DevOps
• Manage cloud infrastructure on Microsoft Azure including VMs, App Services, AKS, Networking, and Storage
• Implement Infrastructure as Code (IaC) using Terraform, ARM Templates, or Bicep
• Build and manage containerized environments using Docker and Kubernetes
• Deploy and manage Azure Kubernetes Service (AKS) clusters
• Automate configuration management and deployments
• Implement monitoring and logging solutions using Azure Monitor, Log Analytics, and Application Insights
• Integrate security best practices (DevSecOps) within CI/CD pipelines
• Collaborate with development teams to improve build, release, and deployment processes
• Troubleshoot production issues and optimize system performance
• Ensure high availability, scalability, and disaster recovery strategies

Required Skills & Qualifications

• 7+ years of experience in DevOps, Cloud Engineering, or Infrastructure Automation
• Strong hands-on experience with Microsoft Azure
• Expertise in CI/CD implementation using Azure DevOps
• Experience with scripting languages such as PowerShell, Bash, or Python
• Proficiency in Infrastructure as Code (Terraform, ARM, Bicep)
• Experience with container orchestration (Kubernetes/AKS)
• Knowledge of Git-based version control systems
• Experience with configuration management tools
• Strong understanding of networking, security, and cloud architecture
• Experience working in Agile/Scrum environments

Job Title: Principal Architect / Scalability Lead (AWS)

📍 Location: Gurgaon (Hybrid)

🕒 Employment Type: Full-Time

Role Overview

We are seeking a Principal Architect / Scalability Lead with deep expertise in AWS and large-scale distributed systems to architect and scale cloud-native products from MVP to enterprise scale.

This role demands a senior technical leader who has proven experience designing systems that handle high throughput, large concurrent workloads, and enterprise-grade reliability, while ensuring exceptional end-user experience.

You will work closely with Product, Data Engineering, AI/ML, and Backend teams to define architecture standards, scalability roadmaps, and engineering best practices.

Key Responsibilities

🏗 Architecture & Scalability Leadership

• Architect highly scalable, resilient, and high-performance cloud-native systems on AWS.
• Design distributed systems capable of supporting 100K+ concurrent users.
• Lead architecture evolution from MVP to enterprise-grade deployment.
• Translate business and consumer requirements into robust technical architecture.
• Drive scalability planning, capacity modeling, and performance engineering.

🔄 End-to-End Ownership

• Own full SDLC visibility from discovery and design to release, monitoring, and optimization.
• Establish best practices for:
• Microservices architecture
• Distributed systems design
• Observability & monitoring
• DevSecOps & CI/CD
• Ensure system uptime, fault tolerance, and cost efficiency.

☁ AWS Cloud & Infrastructure

• Design and implement scalable systems using AWS services.
• Lead containerization and orchestration using Docker and Kubernetes (EKS).
• Architect secure, automated CI/CD pipelines.
• Drive cloud cost optimization and infrastructure efficiency.

📈 Performance & Reliability Engineering

• Define and enforce SLAs, SLOs, and reliability metrics.
• Lead performance testing, load testing, and scalability validation.
• Implement monitoring, alerting, and observability frameworks.
• Design fault-tolerant and highly available systems.

🧠 Backend, Data & AI Collaboration

• Provide architectural guidance for:
• Backend services using Node.js and Python
• Frontend platforms using React / Next.js
• Data platforms using Snowflake
• Collaborate with Data Engineering and AI/ML teams on data-intensive and AI-driven systems.
• Design architectures supporting asynchronous processing, caching, and event-driven workflows.

👥 Leadership & Governance

• Mentor senior engineers and guide architecture best practices.
• Lead architecture governance and design reviews.
• Influence senior stakeholders with data-driven technical decisions.
• Drive cross-functional alignment across Product, Engineering, Data, and AI teams.

Required Qualifications

• 8–15 years of experience in software engineering.
• Proven experience scaling distributed systems handling 100K+ users or high-throughput workloads.
• Deep hands-on expertise in AWS cloud architecture.
• Strong experience with Docker, Kubernetes, and container orchestration.
• Expertise in microservices, caching strategies, asynchronous processing, and distributed systems.
• Strong understanding of performance engineering and reliability frameworks.
• Experience building enterprise-grade systems for large-scale organizations.

Preferred Skills

• Experience with event-driven architectures (Kafka, SQS, SNS, etc.).
• Knowledge of database scalability and data warehousing (Snowflake).
• Exposure to Data Engineering and AI/ML platforms.
• Strong stakeholder communication and strategic thinking skil

·        Minimum of 1 to 3 years experience in sales, business development or similar role.

·        Ability to learn the product to be sold/ value proposition of the software.

·        Responsible for IT sales(software) for B2B.

·        Generate leads through various marketing activities such as cold calling, references, e-mail marketing and various online sources.

·        Client meetings with Negotiation closure & sales management.

·        The candidate must have good communication skills and convincing skills.

·        Manage all communication with clients over mail & in written.

·        Building Business relationships with current and potential client.

Close deal and handle negotiation with the decision makers of prospects

Job Title: Power Engineer (Interconnection and Power Flow Analysis)

Job Location: Remote (Candidates with US market experience preferred)

Job Type: Full-time

Working Hours: Monday to Friday (2 PM to 11 PM IST)

Compensation: 10 to 12 LPA

About the Client:

Our client is a pioneering AI-driven energy solutions company focused on accelerating the clean energy transition by streamlining grid interconnection processes for renewable energy projects. They leverage generative AI and automation to help developers of solar, storage, and wind farms navigate complex interconnection challenges, reduce delays, and optimize application approvals. By providing real-time insights, technical recommendations, and compliance support, they empower energy developers to efficiently integrate with the power grid, ensuring a faster, smarter, and more sustainable energy future.

Job Overview:

We are seeking a skilled Power Engineer with expertise in interconnection studies, power flow analysis, and grid interconnection processes for renewable energy projects. The ideal candidate will have hands-on experience in ISO/RTO markets, power system modeling, and regulatory compliance. This role requires strong analytical skills, proficiency in industry-standard power flow tools, and the ability to work collaboratively in a fast-paced environment.

Key Responsibilities:

Interconnection Support:

Provide technical support for projects in ISO/RTO interconnection queues, including strategy analysis and tariff advisory.

Prepare and submit interconnection applications, ensuring compliance with grid operator requirements.

Conduct power flow, stability, and affected system studies, assessing material modifications to existing infrastructure.

Assist in load flow analysis for transmission and distribution systems.

Technical Analysis & Modeling:

Utilize industry-standard power flow tools (GE-PSLF, PSS/E, PowerWorld, CYMDIST, TARA, ASPEN, PSCAD) for simulations and analysis.

Ensure accurate data input/output management for interconnection studies.

Research and track power market trends in major ISO/RTO markets to provide policy insights.

Process Optimization & Compliance:

Support modeling and policy analysis for transmission, renewable energy, smart grids, and distribution systems.

Develop process efficiencies and automation to streamline workflows.

Prepare high-quality technical documentation, reports, and regulatory submissions.

Qualifications & Skills:

Must-Have Skills:

Education & Experience:

Master’s degree in Power/Energy Systems or Bachelor’s in Electrical Engineering.

1+ years of experience in power flow analysis and/or interconnection studies.

Exposure to ISO/RTO interconnection processes in the US market.

Technical Skills:

Strong understanding of power flow, stability analysis, and load flow studies.

Hands-on experience with GE-PSLF, PSS/E, PowerWorld, CYMDIST, TARA, ASPEN, PSCAD.

Strong quantitative and modeling skills with a focus on data analysis and database management.

Advanced proficiency in Microsoft Excel and VBA.

Soft Skills:

Ability to manage multiple projects under strict deadlines in a fast-paced environment.

Excellent written and verbal communication skills.

Strong research, analytical, and organizational skills.

Collaborative and team-oriented approach.

Good-to-Have Skills:

Programming knowledge (Excel macro programming, Python, MATLAB, SQL).

Experience in process automation and workflow optimization.

Prior work experience with US-based clients or projects.

Understanding of regulatory frameworks and tariff structures in ISO/RTO markets.

Immediate Joiners Preferred. Notice Period - Immediate to 30 Days

Interested candidates are requested to email their resumes with the subject line "Application for [Job Title]".

Only applications received via email will be reviewed. Applications through other channels will not be considered.

Overview

adesso India specialises in optimization of core business processes for organizations. Our focus is on providing state-of-the-art solutions that streamline operations and elevate productivity to new heights.

Comprised of a team of industry experts and experienced technology professionals, we ensure that our software development and implementations are reliable, robust, and seamlessly integrated with the latest technologies. By leveraging our extensive knowledge and skills, we empower businesses to achieve their objectives efficiently and effectively.

Job Description

The client’s department DPS, Digital People Solutions, offers a sophisticated portfolio of IT applications, providing a strong foundation for professional and efficient project management, both globally and locally, for a well-known German company listed on the DAX-40 index, which includes the 40 largest and most liquid companies on the Frankfurt Stock Exchange. The test center as part of DPS is responsible for the areas of "Testing" and "Requirements Engineering," focusing on quality assurance for changes in the system landscape according to customer requirements. 

For new a project, we are seeking a talented requirement in engineer with testing abilities to join our dynamic team. In this role, you will handle the definition and quality assurance of requirements for various procedures, including bug fixing, maintenance of existing components, functional or technical enhancements (change requests). The project is about to create a global solution for payroll validation processes related to customer payments. It involves data from various systems, leading to complexity. Currently, manual work is time-consuming and error prone. Your responsibilities will include collecting and documenting requirements from, transforming the results to developable epics and user stories and defining test cases for ensuring a correct implementation. 

Responsibilities:

The Requirements Engineer collects, analyzes, transforms the Requirements of the Software. It is required to communicate with different levels of stakeholders and keep track of the requirements.

Requirements Elicitation:

Gather requirements from stakeholders by using interviews, workshops, surveys, and other techniques.

Requirements Analysis:

Analyze requirements to ensure they are clear, complete, and feasible.

Reflect to stakeholders, transformation to user-stories.

Requirements Modeling:

Use modeling techniques such as flowcharts, data models, and prototypes to visualize requirements, like UML, BPMN; Draw.io, Conceptboard.

Requirements Documentation:

Create detailed documentation of requirements and functional specifications by using for example Confluence, Jira, Draw.io, SharePoint, Concept-Board.

Requirements Management:

Track and manage changes to requirements throughout the project lifecycle by versioning, tracking from Requirements Documentation through the userstories up to testing.

Stakeholder Communication:

Ensure that the documented requirements meet the needs of stakeholders and align with project goals.

Regularly communicate with stakeholders to clarify requirements and resolve any issues.

Be able to talk on many different levels, from Business to Tech/Development and Testing.

Quality Assurance:

Collaborate with the QA team to ensure that requirements are testable and that the final product meets the specified requirements.

Refinements with Testers.

Defect Management.

Requirements:

Proficiency in requirements engineering, ideally IREB certified (Advanced).

Strong analytical skills and good abstraction ability (Advanced).

Result-, goal-, and service-oriented work approach (Advanced).

Independent working style, adherence to deadlines (Advanced).

Fluency in both technical and business languages (Advanced).

Excellent communication skills.

Good knowledge in using modelling tools and languages such as UML or BPMN.

Good knowledge in usage of tools like Confluence, Jira, Draw.IO, Conceptboard/Miro.

Understanding of IT interfaces (technologies, data transfer e.g., Web Service, File) (Basic).

Knowledge of IT security and data protection concerning IT applications and documents (Advanced).

Experience with system and integration tests as well as regression test concepts (Advanced).

Experience in agile processes (Basic).

Skills & Requirements

Requirements engineering, IREB certification (Advanced), Analytical skills, Abstraction ability, Goal-oriented approach, Independent working style, Adherence to deadlines, Technical and business language fluency, Communication skills, UML, BPMN, Confluence, Jira, Draw.io, Conceptboard, Miro, IT interfaces, Data transfer (Web Service, File), IT security, Data protection, System and integration testing, Regression testing, Agile processes.

• Hands on of working across multiple projects
• Hands-on knowledge of BDD Cucumber Framework
• Hands-on knowledge of Maven
• Hands-on knowledge of Selenium - Appium
• Hands-on knowledge of Jenkins
• Basic Knowledge about CI/CD Concepts
• Exposure to UI Automation, Selenium, JAVA Rest Assured, TestNG
• Experience using at least one defect management tool – JIRA, HP ALM, ADO etc.

Work on improving the flows and overall architecture of the core product at OneCard and OneScore app. 

What you will do:

• Execute all product design flows and visual design stages from concept to final hand-off to engineering.
• Conceptualize original mobile design ideas that bring simplicity and user-friendliness to complex roadblocks.
• Create seamless navigation flows and architecture to improve discoverability, engagement and conversions. 
• Present and defend designs and key deliverables to peers and executive-level stakeholders.
• Establish and promote design guidelines, best practices, and standards.
• Leverage user testing to make product improvements.
• Participate in contributing ideas, updates, and product development areas to the team.

Experience Range: 

Proven 5-6 years of work experience as a Product Designer. Must have worked on digital products. Familiar with user research practices. Having worked in the app product space is a huge plus. 

Technical Expertise:

• Demonstrable Product design skills with a strong portfolio is a must.
• Proficiency in Adobe XD, Illustrator and Figma is a must.
• Design eye-catching mobile app experiences for our app experiences.
• Up-to-date with the latest Mobile app trends, techniques, and technologies.
• BS/MS in Human-Computer Interaction, Interaction Design, or Visual Arts is a plus.