Build Your Career in
Technology & Innovation

Requirements

• Debugging proficiency is required across:
• Distributed services
• API integrations
• UI state management
• Query performance issues
• AI pipeline debugging (Lang Chain, LLM cost optimization, prompt chains)
• Supervisory Responsibility
• This position may have supervisory responsibilities.
• Educational Qualification:
• Bachelor’s degree in computers or software engineering or
• Master’s degree in computer science, Computer Applications

Responsibilities

• Experience and Expertise Requirement :
• 8+ years related software development experience.
• Proficiency in Java, SQL, Mongo and Angular, JavaScript, TypeScript, Node JS.
• Working experience in Angular 6+
• Expertise in Gen AI frameworks, Lang Chain ecosystem, Hugging Face, LLM capabilities, AI cost optimization
• Very strong programming skills and should be able to write optimized, modular code.
• Should have good communication, and interpersonal skills.
• Ability to work in faced-paced agile environment and cope with the speed of scrum process.
• Strong problem-solving skills and attention to detail.
• Traits to take ownership of the components and deliver work that including development, unit testing, and bug-fixing.
• Deep understanding of design principles
• Strong architecture knowledge with experience in HLD + LLD
• Very strong debugging & problem-solving skill
• Ownership mindset and ability to lead design
• Ability to mentor other engineers
• Strong coding excellence (clean code, SOLID, modular design)
• Hands-on across Java, Node, Angular, SQL, Mongo
• GenAI stack proficiency & integration patterns

Requirements

• Mandatory Technical Skills:
• Strong proficiency in Python for data processing and pipeline development.
• Hands-on experience with Apache Airflow for workflow orchestration.
• Advanced SQL skills and hands-on experience with dbt.
• Strong experience with BigQuery or similar cloud data warehouses.
• Experience working with GCS or equivalent cloud object storage.
• Strong understanding of ETL/ELT patterns, data modeling, and analytics engineering.

Requirements

• 🔘Required Experience: 7 - 12 Years
• 🔘Skills: Apache Pinot, postgres, Cube.js
• Technical Requirements:
• OLAP Expertise: 3+ years of experience with Apache Pinot (or similar technologies like ClickHouse/StarRocks) in a production environment.
• Semantic Modeling: Deep experience with Cube (Cube.js), including advanced features like pre-aggregations, security contexts, and multi-tenant configurations.
• Data Store Mastery: Expert-level knowledge of PostgreSQL, specifically in the context of analytical query optimization and Change Data Capture (CDC).
• Streaming & Ingestion: Hands-on experience with real-time data movement (Debezium, Kafka, or Flink).
• Software Craftsmanship: Proficiency in Node.js or Python, with a focus on building scalable backend services.
• Language: Mastery of complex SQL and the ability to translate business logic into code-based data schemas.
• Bonus Points If You Have:
• Experience building analytics specifically for CRM or Sales Tech ecosystems.
• Contributions to open-source projects (specifically in the Pinot or Cube communities).
• Experience with Infrastructure as Code (Terraform, Kubernetes) for managing data clusters.

Responsibilities

• Architecture & Scaling: Design and maintain a low-latency analytics stack capable of handling high-concurrency queries from thousands of concurrent SaaS users.
• Real-time Ingestion: Build and optimize ingestion pipelines that move data from transactional databases (PostgreSQL) and event streams (Kafka/Kinesis) into Apache Pinot.
• Semantic Layer Development: Use Cube (Cube.js) to model complex sales metrics (e.g., "Sequence Conversion Rate," "Attributed Revenue," "Meeting Booked Rate") ensuring consistency across the application.
• Performance Engineering: Optimize Apache Pinot tables, indexing strategies, and Cube pre-aggregations to ensure dashboard widgets load in under 300ms.
• API Strategy: Expose data models via REST/GraphQL APIs, collaborating closely with Frontend Engineers to build world-class data visualizations.
• Data Governance: Implement multi-tenant security logic within the semantic layer to ensure strict data isolation between different customer accounts.

Requirements

• 8+ years of Salesforce experience with3+ years in a Lead role
• Salesforce Revenue Cloud (RLM)
• Sales Cloud (Leads, Opportunities, Forecasting)
• Deep understanding of Quote-to-Cash (Q2C)processes
• RLM Configuration and Approvals
• Amendments, Renewals, Proration, Usage-based pricing
• Apex, LWC, Flows, Triggers
• Integration patterns (REST/SOAP, middleware preferred)
• Experience with Agile/Scrum delivery models
• Excellent stakeholder communication and leadership skills
• Good to Have:
• Experience with Revenue Recognition and financial integrations (SAP, Oracle, NetSuite, etc.)
• Salesforce Industries CPQ or Advanced Billing
• Experience in subscription-based or SaaS business models
• DevOps tools (Copado, Gearset)
• Experience in large enterprise or global implementations
• Certifications (Preferred):
• Salesforce Sales Cloud Consultant
• Salesforce Platform Developer I / II
• Salesforce Revenue Cloud Consultant
• Information Security Responsibilities
• Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
• Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
• Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
• Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information

Responsibilities

• Leadend-to-end implementationof Salesforce Revenue Cloud (RLM, Approvals).
• Product & Price Book modeling
• Complex pricing, discounting, and approval workflows
• Contract lifecycle and amendments
• Billing, invoicing, and revenue recognition (integration-level understanding)
• Act astechnical and functional leadfor Salesforce delivery teams.
• Collaborate with business stakeholders to gather requirements and translate them into scalable Salesforce solutions.
• Drivearchitecture decisions, best practices, and Salesforce standards.
• Review and guide development work (Apex, LWC, Flows, RLM configuration).
• Manage integrations with downstream systems (ERP, Finance, Tax, Order Management).
• Lead sprint planning, estimations, and release management.
• Support UAT, production rollout, and post-go-live stabilization.
• Mentor junior Salesforce developers and administrators.

Requirements

• What We’re Looking For:
• 12+ years of experience, with significant ServiceNow expertise (6+ years) in consulting environments
• Strong experience across: ITSM, HRSD, SAM Pro
• Proven ability to operate at both strategic (architecture/roadmap) and hands-on (solutioning) levels
• Strong client-facing and stakeholder management experience
• Demonstrated experience in driving large-scale transformation programs
• Deep understanding of enterprise architecture, integrations, and governance model
• Preferred Qualifications:
• ServiceNow certifications (CSA, CIS – ITSM/HRSD/SAM)
• Experience working with global clients Familiarity with Agile and hybrid delivery models
• Why Join Us:
• Work on high-impact transformation programs with leading enterprises
• Collaborate with industry leaders and global teams
• Accelerate your career in a fast-paced consulting environment
• Information Security Responsibilities:
• Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
• Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
• Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
• Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information

Responsibilities

• Lead end-to-end architecture and solutioning on the ServiceNow platform
• Partner with CIOs, business leaders, and key stakeholders to shape vision, roadmap, and transformation strategy
• Drive solution design across ITSM, HRSD, and SAM Pro, ensuring alignment with business objectives
• Provide thought leadership and advisory on ServiceNow best practices and industry trends
• Govern architecture standards, design principles, and platform scalability
• Oversee delivery teams to ensure high-quality, on-time implementations
• Identify opportunities for process optimization, automation, and value realization
• Support pre-sales, proposals, and client presentations as a subject matter expert

Requirements

• Salesforce Architect Certifications (Application Architect, System Architect, or Certified Technical Architect pathway certifications).
• Experience with Agile/Scrum delivery methodologies.
• Experience working with enterprise-scale Salesforce implementations.
• Knowledge of DevOps, CI/CD, and Salesforce deployment tools.
• Required Skills & Experience
• 8+ years of Salesforce implementation experience with strong architectural expertise.
• Proven experience in designing and delivering end-to-end Salesforce implementations.
• Strong expertise in:
• Lightning Web Components (LWC)
• Apex
• Salesforce Flows
• Salesforce Integrations (REST/SOAP APIs, Middleware, ETL tools)
• Hands-on experience with:
• Sales Cloud
• Service Cloud
• Experience Cloud
• Other Salesforce Core Clouds
• Strong understanding of Salesforce security model, sharing rules, profiles, permission sets, and governance.
• Experience in solution design, architecture documentation, and stakeholder management.
• Excellent communication and client-facing skills.
• Ability to lead distributed teams and manage multiple workstreams.

Responsibilities

• Lead end-to-end Salesforce solution design and implementation across multiple business functions.
• Define scalable and secure Salesforce architecture aligned with business objectives and best practices.
• Collaborate with business stakeholders, product owners, and technical teams to gather requirements and translate them into technical solutions.
• Provide technical leadership and architectural guidance to development teams.
• Design and oversee complex integrations between Salesforce and external systems.
• Review code, solution designs, and technical deliverables to ensure quality and compliance with Salesforce best practices.
• Drive solution governance, performance optimization, security, and scalability initiatives.
• Mentor developers and technical leads on Salesforce architecture standards and implementation approaches.

Requirements

• Preferred Skills:
• Experience with Power BI semantic models and reporting architecture.
• Power BI DAX knowledge.
• Tableau reporting and semantic layer design.
• Experience in performance tuning, capacity planning, and Azure cost optimization.
• Desired Candidate Profile
• Strong solution architecture and stakeholder management skills.
• Ability to drive enterprise data modernization initiatives.
• Excellent communication and leadership capabilities.
• Experience working in global delivery models and collaborating with distributed teams.
• Ability to work in a fast-paced environment with overlapping EST business hours when required.
• Mandatory Skills
• 12+ years of overall IT experience with strong expertise in Data Architecture and Azure Data Platform solutions.
• Hands-on experience with:
• Microsoft Fabric (Mandatory)
• Azure Data Factory (ADF)
• Azure Databricks
• PySpark (Mandatory)
• Azure Data Lake Storage Gen2 (ADLS Gen2)
• Azure Synapse Analytics
• Strong proficiency in Python and SQL.
• Expertise in designing enterprise-grade ETL/ELT solutions.
• Strong understanding of:
• Big Data Processing
• Schema-on-Read Architectures
• Data Lakehouse Architectures
• Enterprise Data Warehousing
• Extensive experience in Data Modeling:
• Kimball
• Inmon
• Data Vault
• SCD Type 2
• Experience with Data Governance, Data Quality, Metadata Management, Lineage, and Cataloging.
• Strong knowledge of Azure security models including:
• RBAC
• Data Masking
• Row-Level Security
• Column-Level Security
• Experience with Azure infrastructure concepts:
• Virtual Networks (VNet)
• Private Endpoints
• Azure Active Directory (AAD)
• Managed Identity
• Subscription & Resource Management
• Experience with:
• CI/CD Pipelines
• Azure DevOps
• ARM Templates
• Bicep
• Terraform

Responsibilities

• Design and implement enterprise-scale data architecture solutions using Microsoft Azure and Microsoft Fabric.
• Architect modern data lakehouse and enterprise data warehouse solutions.
• Define scalable, secure, resilient, and high-performance data platforms aligned with business requirements.
• Design and develop enterprise ETL/ELT frameworks, metadata-driven pipelines, reusable ingestion patterns, and orchestration strategies.
• Lead data modeling initiatives using Kimball, Inmon, Data Vault, and SCD Type 2 methodologies.
• Establish data governance, data quality, lineage, cataloging, and security frameworks.
• Optimize Azure data workloads for performance, scalability, and cost efficiency.
• Collaborate with business stakeholders, data engineers, analysts, and BI teams to deliver data solutions.
• Implement DevOps, CI/CD, and Infrastructure-as-Code practices for data platforms.
• Provide architectural guidance and technical leadership across multiple projects.

Requirements

• Desired Qualifications:
• Bachelor's degree in computer science, Information Technology, or a related field
• Relevant certifications in Java, Spring, or cloud technologies are a plus
• Required Skills:
• Strong proficiency in Java programming
• Expertise in Spring Boot, Spring Core, and Spring REST frameworks
• Experience with Hibernate for ORM and data access
• Hands-on experience with Oracle RDBMS
• Hands-on experience with MySQL databases
• Proficiency in developing and consuming Java REST Web APIs
• Experience with Kafka for messaging and streaming
• Skills in configuring and maintaining CI/CD pipelines
• Proficient in Docker containerization
• Experience with Kubernetes for orchestration and deployment

Responsibilities

• Design and develop scalable Java backend solutions using microservices architecture to support business requirements
• Implement and maintain RESTful APIs leveraging Spring Boot, Spring Core, and Spring REST frameworks
• Integrate and manage data persistence using Hibernate with Oracle RDBMS and MySQL databases
• Configure and optimize CI/CD pipelines for automated build, test, and deployment processes as well as Working knowledge of AWS services, particular CloudWatch (logging/monitoring) and AWS Lambda (serverless functions)
• Deploy and orchestrate microservices using Docker containers and Kubernetes clusters
• Integrate Kafka for real-time messaging and event-driven architecture within backend systems
• Troubleshoot, debug, and resolve technical issues across distributed systems and services
• Collaborate with cross-functional teams to ensure high-quality deliverables and continuous improvement of backend systems