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A Place Where You Can
Truly Grow
We invest in our people. Every team member gets the tools, mentorship, and opportunities they need to reach their full potential.
Fast Career Growth
Clear promotion paths with quarterly performance reviews. Many of our senior consultants started at junior levels and grew quickly through demonstrated results.
Continuous Learning
Sponsored certifications (AWS, Salesforce, ServiceNow, PMP and more), internal knowledge-sharing sessions, and access to industry conferences and workshops.
Global Exposure
Work on technology projects across India, the Middle East, Southeast Asia, and beyond — gaining international experience that accelerates your career trajectory.
Collaborative Culture
Flat hierarchy, open-door policy, and a genuinely inclusive environment. Your ideas are heard and acted upon — regardless of your seniority level.
Competitive Compensation
Market-leading salaries, performance bonuses, comprehensive health insurance, and a flexible benefits package designed for modern professionals.
Work-Life Balance
Hybrid and flexible work arrangements, generous leave policy including mental health days, and a culture that genuinely respects boundaries and personal time.
Explore Available Openings
We're growing across technology consulting, software development, AI, staffing, and business operations.
Showing 8 of 306 open roles.
Snowflake Data Engineer
Requirements
- 4+ years of Data Engineering experience
- Strong hands-on experience with Snowflake & SQL
- Experience with data pipelines, ELT processes, data modelling, and analytical data layers
- Experience with historical migration, backfill, reconciliation, and data-quality validation
- Exposure to ETL/ELT tools, orchestration, cloud storage, APIs, and BI/reporting layers
- Experience in investment, financial services, accounting, portfolio, or market data is preferred
- Knowledge of data governance, lineage, access control, and sensitive financial data
- Experience: 4+ Years
Responsibilities
- Build and optimize Snowflake data pipelines, tables, views, procedures, tasks, streams, and transformation logic.
- Develop ingestion, staging, cleansing, transformation, enrichment, and consumption layers.
- Create source-to-target mappings for investment, portfolio, accounting, market, reference, and operational data.
- Build reusable data models for portfolios, holdings, transactions, valuations, cash, entities, performance, and historical records.
- Handle historical backfills, reconciliation, data-quality checks, exception handling, and validation.
- Optimize Snowflake performance, warehouse usage, clustering, query design, data loading, and costs.
- Implement security using role-based access, masking, secure views, and data segregation.
- Collaborate with Business Analysts, Solution Architects, Integration Engineers, Data Governance Leads, and Test Leads.
- Prepare technical documentation, deployment scripts, data dictionaries, and handover materials.
Solution Architect – Snowflake
Requirements
- 10+ years in Data Architecture, Cloud Data Platforms, Data Warehousing or Analytics Architecture
- Strong hands-on experience with Snowflake architecture & implementation
- Experience in Investment Management / Asset Management / Wealth Management / Capital Markets / Financial Services
- Strong knowledge of portfolios, holdings, transactions, valuations, performance, cash, benchmarks and market data
- Experience with public & private investment data is highly preferred
- Strong understanding of data governance, RBAC, data lineage and sensitive financial data
Responsibilities
- Own end-to-end solution architecture for the Snowflake data platform
- Design scalable data architecture covering ingestion, storage, transformation, security, governance & consumption
- Define Snowflake environments, warehouses, databases, schemas, roles, access controls and performance strategies
- Design integrations with investment, accounting, portfolio, market-data and reporting systems
- Lead historical data migration, backfill, reconciliation and auditability
- Define data security, masking, encryption, lineage and governance standards
- Guide Snowflake Data Engineers and Integration Engineers
- Review data models, integration designs and performance optimization approaches
System Integration Engineer
Requirements
- 5+ years in System Integration / Data Integration / ETL / ELT / API Integration / Middleware
- Experience with financial, investment, accounting, portfolio, or market data systems
- Strong experience with APIs, SFTP, batch files, databases, schedulers, and ETL/ELT tools
- Snowflake ingestion experience is preferred
- Experience with historical data migration and data loading
- Understanding of security, encryption, access controls, logging, and monitoring
Responsibilities
- Analyze integration requirements and define data ingestion patterns into Snowflake
- Build and support integrations across portfolio, accounting, investment, market data, APIs, databases, and vendor platforms
- Design batch, scheduled, file-based, API-based, and database-driven data feeds
- Support secure connectivity, authentication, encryption, monitoring, and data transfer
- Work closely with Snowflake Data Engineers for data validation and downstream processing
- Support historical data migration and backfill activities
- Implement error handling, logging, retry mechanisms, and reconciliation controls
- Troubleshoot integration issues across systems, APIs, networks, data formats, and permissions
- Maintain integration specifications, data flows, dependencies, and operational runbooks
Zuora CPQ Developer
Requirements
- Zuora CPQ Development & Integration
- CPQ Configuration & Customization
- Zuora CPQ APIs
- Product Catalog, Quotes, Amendments & Renewals
- REST/SOAP APIs & External System Integrations
- Troubleshooting & Debugging
- Solution Implementation
Java Developer – Spring Boot
Requirements
- Strong knowledge of Java / Core Java & Spring Boot
- Experience in REST API development & integration
- Good knowledge of SQL & databases
- Experience with Git and version control
- Familiarity with JSON, YAML & XML
- Unit testing, debugging & troubleshooting
- Understanding of security best practices
- Strong analytical and problem-solving skills
DEVOPS ENGINEER
Requirements
- Google Cloud Platform (GCP)
- Kubernetes & Docker
- Terraform / Infrastructure as Code
- Jenkins, Git & GitHub
- Python & Shell/Bash Scripting
- Linux Administration
- GKE, VPC, IAM, Cloud SQL & Load Balancing
- PostgreSQL & Cassandra
- Monitoring, Logging & Production Operations
- Good to Have:
- Helm | Istio | ArgoCD | GitOps | Prometheus | Grafana | ELK/OpenSearch | Kafka | Redis | DevSecOps | SRE | FinOps
Senior ServiceNow Developer
Requirements
- ServiceNow CMDB & ITSM
- Flow Orchestration & Workflow Automation
- ServiceNow Studio
- REST APIs & SOAP Web Services
- JavaScript & Glide APIs
- Business Rules, Script Includes & Client Scripts
- Third-Party Integrations
- Troubleshooting & Debugging
- ServiceNow Platform Governance & Best Practices
Responsibilities
- ServiceNow CSA / CAD / CIS Certifications
- Strong ITIL knowledge
- Enterprise-scale ServiceNow experience
- Platform upgrades and enhancements
- Agile development experience
Senior Technology Consultant – Capital Markets
MBA / MCA / BE / BTech or equivalent degree. Experience: 4–8 Years
Requirements
- Strong hands-on experience with Calypso, preferably Version 14+
- Calypso Securities Instance (CSI)
- Trade Representation & Processing
- Static Data Configuration & Workflow Design
- Trade Validation & Enrichment
- Settlement Status Processing
- Middle Office Reporting Framework
- Block Allocation – Vinci SS1 Enrichment
- Loss & Claim Management
- Front-to-Back Trade Lifecycle
- Securities, Fixed Income, FX, Listed & OTC Derivatives, Repos & Structured Products
- SQL and database knowledge
- SOAP/REST APIs, FIX, ISO 15022/20022
- System integration, troubleshooting & technical log analysis
- Python / Java / C# exposure
- Agile / Scrum / Kanban experience
- Capital Markets modernization, transformation or migration experience
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