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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 299 open roles.
EPM Technical Consultant | Oracle EPM Cloud / EPBCS
Requirements
- Oracle EPM Cloud Planning / EPBCS
- Web Forms & Form Design
- Business Rules & Calculation Scripts
- Groovy Rules
- Data Maps
- Data Management / EPM Data Integration
- Metadata & Dimensions Management
- Smart View & Reporting
- EPM Application Artifact Migration
- LCM & EPM Automate
- EPM Security & Access Management
- DEV → UAT → PROD Migration
- Production Support / AMS & RCA
Responsibilities
- FCCS / ARCS / EDMCS exposure
- EPM Maestro or other EPM tools
- PowerShell / Bash / Linux Shell / Python scripting
- Oracle ERP Cloud & EPM integration
- Narrative Reporting
- ITIL / AMS support experience
EPM SYSTEM ENGINEER
Requirements
- Oracle EPM / Hyperion On-Prem Installation & Configuration
- HFM | FDMEE | DRM | DRG | FCM
- EPM IaaS & Hyperion Administration
- EPM Patching, Upgrades & Troubleshooting
- EPM Environment Migration & LCM
- FDMEE Integrations & Automated Data Loads
- EPM Automate
- RHEL/Linux & Windows
- PowerShell / Bash / Python
- EPM Security & SSO Integration
- Production Support & RCA
- EPBCS | ARCS | TRCS – Good to Have
Golang Developer
We are looking for an experienced Golang Developer with strong hands-on experience in building scalable APIs, integration services, event-driven architectures, and cloud-native applications.
Requirements
- Go / Golang – 3+ years of production experience
- REST / gRPC APIs & Go frameworks
- Goroutines, Channels, Context, Interfaces & Error Handling
- Enterprise Integration Patterns
- AWS EKS, Kubernetes, Docker
- AWS SQS, SNS & Lambda
- AWS RDS – PostgreSQL/MySQL
- API Contracts, Schema Evolution & Versioning
- Clean Architecture, SOLID & Design Patterns
- CI/CD, Git & Automated Testing
- Observability – Logging, Metrics & Distributed Tracing
- Experience with iPaaS platforms such as MuleSoft, Boomi, Workato, Logic Apps, Informatica, TIBCO, web Methods, etc.
GCP DATA ENGINEER
We are looking for an experienced GCP Data Engineer to join our team and build scalable, reliable, and high-performance data solutions on Google Cloud Platform (GCP).
Requirements
- 5–7 years of Data Engineering experience
- Strong hands-on experience with GCP
- Excellent expertise in BigQuery
- Experience with Cloud Storage, Dataflow, Pub/Sub, Cloud Composer & Dataproc
- Strong SQL & Data Modeling skills
- Hands-on ETL/ELT pipeline development
- Python or Java experience
- Git & CI/CD practices
- Strong understanding of Data Warehousing concepts
- Excellent analytical and problem-solving skills
Responsibilities
- Design, develop, and maintain scalable GCP data pipelines
- Build and optimize data warehouses using BigQuery
- Develop ETL/ELT workflows for large datasets
- Work with structured & semi-structured data
- Optimize BigQuery performance, partitioning & clustering
- Implement data quality, validation & monitoring
- Ensure data security, governance & compliance
- Troubleshoot production issues and improve data platforms
- Collaborate with architects, analysts & business stakeholders
JAVA DEVELOPER
Requirements
- Strong experience with Java 8+
- Hands-on experience with Spring Boot
- Good understanding of Microservices Architecture
- Experience with Microsoft Azure Cloud
- Knowledge of Azure Cosmos DB
- Strong communication & collaboration skills
Responsibilities
- Apache Kafka
- Azure Service Bus
- Docker & Kubernetes
- Team leadership / mentoring experience
Cloud Infrastructure Engineer
Requirements
- Kubernetes Operations & Architecture
- Advanced Terraform
- Cloud IaaS & PaaS
- Git-based Infrastructure Workflows
- CI/CD Pipelines
- Python / Bash / PowerShell
- Infrastructure Security & Governance
- Identity & Access Management
- Strong technical leadership & collaboration
Responsibilities
- Architect and automate cloud infrastructure using Terraform & Git workflows
- Design and manage production-grade Kubernetes clusters
- Implement multi-tenancy, network policies, and security standards
- Build reusable and modular Terraform templates
- Develop infrastructure self-service and automation solutions
- Work with IaaS & PaaS services across compute, storage, networking, databases, messaging, and identity
- Drive GitOps, Policy-as-Code & Platform Engineering practices
- Collaborate with application, security, and cloud architecture teams
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
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