Requirements

Tealium || 5-10years || Remote || IST
Please share your budget along with profile

Job Description:        
Tealium iQ Tag Management:
o   Configure and maintain the data layer to ensure accurate data collection.
o   Implement and troubleshoot tags, load rules, and extensions.
o   Monitor and optimize tag performance to meet business goals.
EventStream and AudienceStream:
o   Set up and manage real-time event collection and customer data pipelines.
o   Build and maintain customer profiles and audience segmentation strategies.
o   Design and implement visitor stitching for unified customer views.
Integration and Activation:
o   Develop and configure integrations with marketing platforms (e.g., Google Ads, Adobe Analytics, Facebook).
o   Implement connectors and APIs for seamless data activation.
o   Support consent management tools to ensure compliance with GDPR, CCPA, and other privacy regulations.
Data Governance and Security:
o   Ensure data accuracy, governance, and compliance through structured processes.
o   Implement and maintain security measures such as SSO, MFA, and secure data handling protocols.
Collaboration and Support:
o   Collaborate with cross-functional teams including marketing, IT, and analytics teams to align on objectives and requirements.
o   Provide technical documentation, training, and support to stakeholders.
Performance Monitoring:
o   Continuously monitor and optimize the Tealium setup for reliability, scalability, and efficiency.
o   Debug and resolve issues related to data capture and tag implementation.

Requirements
Qualifications and Skills:
·        Proven experience with Tealium iQ Tag Management, EventStream, and AudienceStream.
·        Strong knowledge of JavaScript, HTML, and CSS for tag configuration and debugging.
·        Familiarity with data layer frameworks and tracking implementations.
·        Experience with third-party integrations using APIs, SDKs, and server-side tracking.
·        Solid understanding of data privacy regulations like GDPR and CCPA.
 
General Skills:
·        Excellent verbal and written communication skills.
·        Strong problem-solving and analytical abilities.
·        Skilled in preparing technical documentation, including flowcharts and diagrams.
·        Effective time management and ability to prioritize tasks in fast-paced environments.
·        Capable of creating POCs with minimal guidance from the seniors.
·        Ability to collaborate across teams and deliver high-quality work with minimal supervision.

Skill Set

• Tealium iQ

Requirements

*Senior MuleSoft Developer*
*Experience* : 15+ Years total and 10+ Years in specific MuleSoft. 
*Location* : Remote 
*Shift* : 2:00 PM – 10:00 PM
*Rate* : 150K

*Key Technical Requirements*

• Strong hands-on experience with MuleSoft Anypoint Platform / Mule 4
• Hands-on experience with Anypoint Studio, API Manager, Runtime Manager, Exchange & CloudHub
• Strong expertise in DataWeave 2.0 and complex data transformations
• Experience developing and maintaining RESTful APIs and SOAP services
• Strong understanding of API-led connectivity architecture – Experience, Process & System APIs
• Strong knowledge of REST, SOAP, JSON, XML, RAML & OpenAPI
• Experience in API design, development and implementation
• Knowledge of API security protocols including OAuth 2.0, JWT, SAML & TLS/SSL
• Strong understanding of Enterprise Application Integration (EAI) and integration patterns
• Experience with message queues and Event-Driven Architecture
• Experience integrating cloud and on-premise enterprise applications such as Salesforce, SAP, Oracle, Workday, eCommerce platforms, etc.
• Strong experience with Git, Maven, Jenkins, Azure DevOps or similar CI/CD tools
• Good experience with relational databases such as SQL Server, Oracle, MySQL or PostgreSQL
• Experience in unit testing, integration testing, UAT support and production troubleshooting
• Ability to participate in solution design, code reviews and technical discussions
• Experience mentoring junior developers and following development best practices

*AI & Modern Development Skills – Preferred*

Candidates with hands-on experience using AI-assisted development tools such as:

• Claude Code – Preferred
• GitHub Copilot
• Other Generative AI coding assistants

*Should have the ability to leverage AI tools for:*

• Code generation
• Debugging & troubleshooting
• Refactoring
• Documentation
• Test case creation
• MuleSoft integration development
• API development
• DataWeave transformation development

Understanding of AI governance, secure coding practices and responsible AI usage in enterprise environments will be an added advantage.

*Preferred / Good to Have*

• MuleSoft Certified Developer – Level 1 (Mule 4)
• MuleSoft Certified Integration Architect
• Experience integrating AI services/APIs with enterprise applications
• Exposure to AWS / Azure / GCP
• Experience with Docker / Kubernetes
• Salesforce / SAP / Workday / Oracle integration experience
• Exposure to AI-driven automation, workflow orchestration or chatbot integrations
• Strong understanding of Microservices & Event-Driven Architecture
• Retail domain experience is an added advantage

👉 AI-assisted MuleSoft development experience, especially Claude Code, will be a strong advantage.

Skill Set

• Aws
• Azure
• Docker
• GCP
• Mulesoft
• SAP BRIM

Requirements

*Position Title: Databricks Solution Architect*
*Experience: 8 +Years*
*Relevant Databricks Experience: 3–5+ Years*
*Shift: Monday to Friday (in UK Shift)*
*Qualification: BTech, BCA, MCA, BE*

*Role Overview*

We are looking for an experienced Databricks Solution Architect to design and lead enterprise-scale Data Lakehouse, Data Engineering, Analytics and AI solutions using the Databricks platform.

The ideal candidate should have strong hands-on experience with Databricks, Apache Spark, PySpark, Delta Lake, Unity Catalog and cloud platforms such as Azure/AWS, along with excellent solution architecture and stakeholder-management skills.

*Key Responsibilities*

Design end-to-end Databricks Lakehouse architectures for enterprise data platforms.
Translate business and technical requirements into scalable, secure and cost-effective solutions.
Design batch, streaming and near-real-time data pipelines.
Define architecture using Bronze/Silver/Gold Medallion Architecture.
Design solutions using Delta Lake, Unity Catalog, Databricks SQL, Workflows and DLT/Lakeflow.
Lead data platform modernization and migration initiatives.
Optimize Spark/PySpark workloads, clusters, queries and data pipelines for performance and cost.
Define data governance, security, access control, lineage and compliance frameworks.
Work with cloud services across Azure / AWS / GCP.
Establish CI/CD and Infrastructure-as-Code practices using Git, Terraform, Azure DevOps/GitHub Actions.
Collaborate with Data Engineers, Data Scientists, DevOps teams and Enterprise Architects.
Conduct architecture workshops, technical discussions, POCs and solution presentations.
Prepare HLD/LLD, architecture diagrams, migration roadmaps and technical proposals.
Mentor engineering teams and establish Databricks best practices.
Support technical presales, RFP/RFI responses and client-facing solutioning where required.

*Mandatory Skills*

Databricks
Databricks Lakehouse Architecture
Apache Spark / PySpark
Delta Lake
Unity Catalog
Databricks Workflows / Jobs
Databricks SQL
Delta Live Tables / Lakeflow
Python and SQL
Strong ETL/ELT and data engineering experience
Batch & streaming data processing
Data modeling and Medallion Architecture
Strong experience in at least one cloud: Azure / AWS / GCP
Spark performance tuning and optimization
Data governance and security
Architecture/design and stakeholder management

*Good to have skills*

Terraform / Infrastructure as Code
Azure Data Factory / Airflow
Kafka / Event Hubs
MLflow / MLOps
Databricks Asset Bundles
CI/CD
Snowflake / Synapse
dbt
Data migration / modernization
GenAI / RAG / Vector Search / Mosaic AI
Databricks certification
AWS/Azure certification

*Certification Preferred:*

Databricks Certified Data Engineer Professional
Databricks Certified Solutions Architect / relevant Databricks certification
Azure/AWS/GCP certification

Skill Set

• Aws
• Azure
• Data Architect
• Data Modeler
• ETL
• GCP
• Python
• Sql

Requirements

*AI Engineer + Azure || 5-7 Years || Remote || 2-10 PM*

Position Summary

The AI Engineer will design and implement intelligent document processing, OCR, AI-enabled automation, and advanced analytical capabilities supporting the IPV transformation. This role will leverage AI technologies to improve ingestion, processing efficiency, anomaly detection, and future AI-driven operational capabilities. 
Key Responsibilities

Design AI-powered ingestion solutions for PDFs and broker documents.
Implement Azure AI Document Intelligence capabilities.
Develop OCR and document extraction frameworks.
Build anomaly detection and data quality intelligence models.
Develop AI-enabled workflow enhancements.
Support future Agentic AI use cases and innovation roadmaps.
Improve data extraction accuracy and operational efficiencies.
Integrate AI services into Dataiku workflows.
Collaborate with data engineers and architects on scalable AI architectures.
Support model governance and monitoring.
Required Skills

Python
Azure AI Services
Azure AI Document Intelligence
Machine Learning
NLP
OCR Solutions
API Integration
Data Engineering Concepts
MLOps
Preferred Skills

Dataiku
Generative AI
Agentic AI Frameworks
Energy Trading Domain Knowledge
Databricks

Skill Set

• Artificial Intelligence
• Azure
• Dataiku
• Gen AI
• Python

Requirements

You will implement event orchestration tooling and architecture patterns, including Schema Registry, Debounce, Idempotency, and Claim Check. You will work with cloud-native event tooling, specifically including AWS EventBridge. You will contribute to the setup and enablement of a functioning Event catalog within the Bank's Dev/Test environments. You will execute POC validation against distinct architecture patterns, specifically including event orchestration, transformation, and resilience. You will implement a correlation-ID-based observability and traceability model across event flows. Expertise on AWS PaaS services( event API and Lambda)

Skill Set

• Aws
• Business Events

Requirements

They act as the gatekeeper of data quality, working extensively with databases, ETL (Extract, Transform, Load) processes, and source-to-target mappings. Data Validation & Integrity: Perform source-to-target reconciliation to ensure that data extracted from sources matches what gets loaded into downstream targets without errors, truncations, or duplications. Transformation Testing: Validate that business rules and complex transformation logic (e.g., aggregations, lookups, filtering) are correctly applied to data. SQL Querying: Write and execute complex SQL queries for data profiling, completeness checks, and anomaly detection. Defect Management: Identify, log, and track data quality defects in issue-tracking systems and collaborate with data engineers to troubleshoot root causes. Automation: Develop and maintain automated data quality scripts or frameworks to streamline regression testing and continuous integration (CI/CD).

Skill Set

• CI/CD
• Data Engineer
• ETL
• Software Testing
• Sql

Requirements

Investment Banking/Finance || 5-8 years || Remote || 90k -110k || IST

✅ 5–8 years in Investment Banking or Capital Markets Technology
✅ Expert Python development skills
✅ Experience with derivatives or structured products
✅ Built or maintained pricing engines, risk engines, or quantitative libraries
✅ Worked on platform modernization or legacy migration projects
✅ Strong numerical and quantitative aptitude
✅ Experience with APIs, distributed systems, and production software
✅ Hands-on experience with reconciliation, validation, and regression testing
✅ Comfortable working with quants, traders, and technology teams

Skill Set

• API Testing using Postman
• Python

Requirements

Test Manager – Dynamics 365 F&O (Remote)

 Experience: Minimum 10+ Years as a Test Manager || Budget - 150k -160k || remote || 

Job Summary

We are seeking a Test Manager to lead the testing strategy, test governance, UAT coordination, and quality assurance activities for a multi-country Dynamics 365 F&O implementation.

Key Responsibilities-

Strong working exposure and knowledge of D365 F&O
Develop testing strategy and roadmap.
Lead SIT, UAT, Regression, and Performance Testing.
Manage test planning and execution.
Coordinate with business users across multiple countries.
Track defects and ensure timely closure.
Manage testing resources and test environments.
Generate quality metrics and testing reports.
Collaborate with Leapwork and Tricentis teams.
 Required Skills

ERP Testing experience.
Dynamics 365 F&O testing expertise.
Azure DevOps Test Management.
Strong stakeholder management.

Skill Set

• Azure
• DevOps
• Dynamics 365 environments
• MS Dynamics
• Software Testing

Requirements

CyberArk Architect

Reports to:

Identity Programme Lead / Principal Architect

Engagement:

Client-facing, consulting / systems integration delivery

About the role

We are seeking a CyberArk Architect to lead solution design for a large-scale, TSA-regulated Privileged Access Management (PAM) migration and merger consolidation programme. This is a hands-on architecture role spanning vault migration design, identity federation, and application onboarding strategy for an estate spanning thousands of accounts and 250+ dependent applications, delivered against a fixed regulatory deadline.

Key responsibilities

Migration & vault architecture

•     Design the end-to-end migration architecture from CyberArk v12.2 to v14.2, covering entity extraction (REST API primary, PACLI fallback), transformation, reconciliation, and staged loading into the target vault.

•     Define the staged-ingestion model: disabled import → CPM soft-verification → dual-run mirroring → forced rotation at cutover — ensuring no credential is exposed to a script or human during migration.

•     Own name-collision resolution, platform normalisation, and policy reconciliation rules between source and target environments.

•     Produce migration runbooks, RAID logs, and effort-sizing models across Safes, Accounts, Platforms, and Policies.

Application & credential provider (CP/CCP) strategy

•     Lead discovery to segment the 250+ dependent applications by integration pattern (CP agent, CCP centralised, Conjur, direct SSO) — the primary driver of onboarding sequencing and timeline risk.

•     Design the CP/CCP re-onboarding approach, including AppID re-provisioning, certificate/mTLS re-issuance, and phased cutover waves.

•     Define rollback and dual-run strategy per wave, including the read-only fallback window on the source vault.

Identity federation & MFA

•     Design PVWA federation to Entra ID via SAML/OIDC, including claims mapping from Entra groups to CyberArk Vault Users and Safe membership.

•     Architect the RSA SecurID → Entra MFA migration as a re-enrolment exercise, covering Conditional Access policy design and non-web/legacy client bridging (PrivateArk, PACLI, RADIUS-dependent flows).

•     Ensure High Side / Low Side segregation is preserved across all federation and migration data flows, with no entitlement detail crossing the DMZ boundary.

Governance, compliance & stakeholder leadership

•     Own architecture decisions and trade-offs; present designs to client security, compliance, and PAM leadership for sign-off.

•     Ensure all migration and access-control designs produce audit evidence sufficient for TSA compliance reporting.

•     Evaluate and position complementary tooling (e.g. Hydden for continuous identity discovery) against native CyberArk capability.

•     Define acceptance criteria and go/no-go gates for pilot and production wave sign-off.

•     Mentor and provide technical direction to CyberArk Senior Engineers delivering the build.

Required experience & skills

•     8+ years in Identity and Access Management, with 5+ years specifically in CyberArk PAM architecture and design.

•     Deep hands-on knowledge of CyberArk EPV, PVWA, CPM, PSM, AAM/CCP, and Vault architecture across on-prem and Privilege Cloud deployments.

•     Proven experience leading a CyberArk version migration (v10/v11/v12 → v13/v14) at enterprise scale.

•     Strong working knowledge of SAML 2.0 and OIDC federation design, including experience integrating CyberArk PVWA with an enterprise IdP (Entra ID, Okta, or equivalent).

•     Experience with credential provider architectures (CP, CCP) and application onboarding at scale (100+ application estates).

•     Familiarity with MFA migration projects (e.g. RSA SecurID to a cloud MFA/Conditional Access model).

•     Experience operating in regulated environments (financial services, telecom, or government) with formal change control and audit evidence requirements.

•     Strong client-facing communication skills; able to present architecture to both technical and executive stakeholders.

Preferred / nice to have

•     CyberArk certification — CyberArk Defender, Sentry, or Guardian.

•     Experience with SailPoint IdentityIQ or IdentityNow integration alongside CyberArk (joint IGA/PAM programmes).

•     Exposure to identity data/discovery platforms (e.g. Hydden) for cross-platform reconciliation.

•     Experience with M&A-driven identity consolidation programmes (merging two organisations' identity estates).

•     Familiarity with using AI-assisted delivery tooling (e.g. Claude Code, Copilot) to accelerate script and runbook development, distinct from runtime AI in the access path.

Skill Set

• Claude
• CP/CCP
• CPM
• CyberArk Architect
• CyberArk PAM
• PSM

Requirements

Site Reliability Engineering (SRE)
 DevOps
 Cloud Platform (AWS / Azure / GCP) – At least one mandatory
 Terraform / Infrastructure as Code (IaC) (CloudFormation equivalent also acceptable)
 Python / Go / Bash (Scripting & Automation)
 Docker & Kubernetes
 CI/CD (Pipeline automation)
 Monitoring & Observability (Prometheus, Grafana, Dynatrace, Splunk, ELK)
 Incident Management, RCA & Postmortem Analysis
Infrastructure Automation & Performance/Scalability

Skill Set

• Aws
• DevOps
• GCP
• GoLang
• Incident Management
• Kubernetes
• Python