Requirements

DevOps :

Skills : AWS, Cloud Server, Digital Ocean, Work on Budgetery part, Latency. 
Experience : 5+ Years

Skill Set

• Aws
• Cloud Solution
• DevOps

Requirements

1. Python Developer 
Experience : 3+ Years

Skills : Python, Django and experience with FinTech. 
Tenure : 6 Months

Skill Set

• Django
• Python

Requirements

Role: Build and ship production web apps and APIs for a healthcare platform with real-time
voice (SIP/WebRTC) and agent tooling. Experience with LiveKit SIP, browser WebRTC, and
modern TypeScript/Node stacks is important. ( LiveKit Docs )
Responsibilities
● Implement React/Next.js frontends (TypeScript) with state management (React
Query/Zustand/Redux), form + schema validation, and robust UX.
● Build visual graph/canvas editors (React Flow or equivalent) and code editors (Monaco)
with YAML/JSON linting, schema-aware hints, and keyboard-first workflows. (React
Flow)
● Design and deliver REST backends (Node.js/NestJS or Go/Python), define
OpenAPI/JSON-Schema contracts, enforce RBAC/ABAC, and write migration-safe
services.
● Implement SIP dial-out / inbound call flows and browser WebRTC media; handle
signaling (SDP), connectivity (ICE/STUN/TURN), DTMF, and call state via LiveKit APIs.
( LiveKit Docs ) - You will need to use LiveKit API for React here.
● Model multi-tenant data in PostgreSQL with Row-Level Security (RLS); (optional) add
Redis caching, job queues, and idempotent write paths. (PostgreSQL)
● Orchestrate background work (scheduling, retries, timeouts) using a workflow engine
such as Temporal. (docs.temporal.io)
● Add observability (OpenTelemetry traces/metrics/logs), health checks, SLOs, and CI/CD
gates (test + lint + typecheck + security scans). ( OpenTelemetry + Grafana +
Prometheus + LiveKit Observability)
● Harden apps to OWASP ASVS and API Top 10; ship secure defaults (MFA, secret
rotation, least privilege). (owasp.org)
● Integrate healthcare auth & data: OAuth2/OIDC (Microsoft Entra ID) and FHIR resources
where applicable (e.g., Questionnaire for intakes). Ensure HIPAA-aligned safeguards.
(Microsoft Learn)
● Use Azure services (App Service/AKS, Key Vault, API Management, Service Bus)
following Well-Architected practices. (Microsoft Learn)

Required Experience

● 5+ years building production web apps (B2B SaaS), with recent 3+ years in TypeScript,
React/Next.js, Node.js (NestJS/Express).
● Proven delivery of graph/canvas UIs (React Flow or similar) and in-browser code
editors (Monaco/VS Code components). (React Flow)
● SIP/WebRTC in production: LiveKit or equivalent for telephony, media routing, and
session control. Understand ICE/STUN/TURN and SDP. ( LiveKit Docs )
● PostgreSQL with RLS, schema versioning, query tuning, and transaction-safe patterns.
(PostgreSQL)
● Azure: App Service or AKS, Service Bus (queues/topics), Key Vault, API
Management, logging/metrics. (Microsoft Learn)
● Security: hands-on with OWASP ASVS controls, secure secret handling, token-based
auth (OAuth2/OIDC), and code-level threat mitigation. (owasp.org)
● Observability with OpenTelemetry, distributed tracing, and error budgets/SLOs.
( OpenTelemetry )
● CI/CD: GitHub Actions/Azure DevOps, Docker, automated tests (unit/integration/e2e).
● Comfortable working in regulated healthcare contexts (HIPAA safeguards) and with
FHIR data models for forms/intakes (Questionnaire). (HHS.gov)

Nice to Have
● Temporal (durable workflows), k6 or Playwright for perf/E2E testing, Redis streams,
feature flags, and canary releases. (docs.temporal.io)
● GraphQL servers (Apollo/Federation), OpenAPI tooling (codegen, contract testing), data
pipelines, or BI event models.

Skill Set

• Aws
• Nextjs
• Nodejs
• Reactjs

Requirements

Key Responsibilities:
Analyze existing source data storage (Data warehouse, data lakes, or operational systems) to understand schema, relationships, and constraints.
Design and implement data models in the target data warehouse (E.g. Snowflakes, Azure Synapse etc.)
Ensure structural consistency and maintain data lineage between source and target systems
Experience in Work with Azure Data Factory (ADF)
Support schema validation, key constraint checks, and referential integrity across source-to-target mappings.
Proven experience with Azure Synapse Analytics, Azure SQL Database, and Azure Data Factory, Snowflakes/Databrick.
Strong proficiency in SQL, T-SQL, and DDL scripting for schema design and deployment.
Familiarity with Microsoft Purview for metadata and lineage tracking.
Preferred Skills:
Experience with Azure DevOps for CI/CD deployment of data models and scripts.
Knowledge of modern data lake house architectures.
Exposure to Power BI data models and DAX fundamentals.
Understanding of data governance, security, and compliance frameworks (GDPR, HIPAA, etc.).
Basic scripting in Python or PowerShell for automation of schema validation or metadata extraction.

Skill Set

• Azure
• CI/CD
• Data Migration
• PowerBI
• Python

Requirements

*QA Tester*

Exp: 5-6+ Years Relevant.

Remote, IST 

Jd: 

Perform and define structured functional application, integration, regression and E2E testing activities
This includes defining testing cases, executing tests, managing defects, generating reports, communicating issues, developing and analyzing test plans, documenting test results, conducting release readiness reviews, and reviewing documentation.
Strategize, develop and execute system and regression tests on company Enterprise Data Warehouse and Reporting solutions such as Power BI and Cognos, and Azure.
Ensure adherence, assurance and review of ETL / BI / ERP Unit Testing. The drive process changes, specifically around quality delivery, consistency and maintainability of Enterprise Data Warehouse.
Write complex SQL Queries for test validation purposes.
Adhere to quality assurance best practices and project deadlines.
Attend regular project meetings, knowledge sessions, current testing status and coordinate with onshore and onsite team members.
Maintain documentation of test results, effective and reusable test data creation.
Define, build, modify and execute automation test frameworks for regression test coverage on business process testing, using tools such as Provar, Selenium and UFT.

Skill Set

• Azure
• ETL
• QA
• Sql

Requirements

We are seeking a    highly skilled Data Engineer proficient in Ab Initio and SQL to support the    
design    and    implementation    of    a    Data Warehouse solution. The role    involves    data    analysis,    
source-to-target mapping and collaboration    with    cross-functional teams.
Key Responsibilities
* C Data Warehouse Development
* Design and build a    scalable Data Warehouse    solution tailored to    business    
requirements.
* Optimize data storage,    ETL performance, and query efficiency.
* Ensure integration    of data across business units.
* •úQ Data Analysis & Mapping
* Conduct detailed data analysis and profiling    to understand existing    systems.
* Create comprehensive Source-to-Target Mapping (STM) documentation.
* Identify gaps, anomalies, and inconsistencies in source data.
* ☼O◦ ETL Development using Ab Initio
* Build and maintain robust ETL pipelines using Ab Initio to extract, transform, and    
load    data.
* Develop reusable components for efficient data p`essing and transformation.
* ) SQL    & Data Validation
* Write complex SQL queries for data transformation, cleansing, and validation.
* Validate final datasets for completeness, accuracy, and readiness for
computations.
Qualifications
* 5+ years of experience in Data Engineering or similar role.
* Hands-on experience with Ab Initio tools (GDE, EME, Conduct>It).
* Strong command of SQL for data    transformation and validation.
* Experience in financial reporting, especially Return on Capital or related KPIs, is highly    
preferred.
* Demonstrated experience in multi-country data integration or similar multinational    
projects.
* Ability to analyze business requirements and translate them    into technical design.
Soft Skills
* Excellent written and verbal communication    skills.
* Strong analytical and problem-solving mindset.
* Proactive and self-directed with the ability to meet tight deadlines.
* Collaborative team    player who can    work across functions and geography.
Application Instructions
Interested candidates should submit their updated CV along with a    brief cover letter    
outlining    relevant    experience    with    Ab    Initio,    SQL,    and    data    warehousing    project

Skill Set

• Data Engineer
• ETL
• Sql

Requirements

Skill Set

• Aws
• Java
• Oracle
• PostgreSQL
• Reactjs

Requirements

Core Requirements:

Strong experience with React and modern patterns (hooks, context API, component-based architecture)

Proficient in TypeScript and frontend tooling (Webpack/Vite, Storybook, etc.)

Experience working with RESTful APIs and asynchronous data flows

Bonus:

AWS integration experience (e.g., Cognito, API Gateway, CloudFront, S3)

Familiarity with GitHub Actions

Skill Set

• Aws
• Reactjs
• Typescript

Requirements

JD: Salesforce Revenue CLoud developer
EXP: 05+ Years

Remote

5+ years of hands-on experience in Salesforce Industries (Vlocity/Omnistudio) development and configuration.
Strong expertise in CPQ (Configure, Price, Quote) and Revenue Cloud implementation.
Proficient in Omnistudio tools – DataRaptors, Integration Procedures, OmniScripts, and FlexCards.
Experience in designing and developing Salesforce Apex, LWC, and Triggers for custom business logic.
Deep understanding of Salesforce data model, declarative tools, and integration patterns.
Implemented end-to-end CPQ solutions, including pricing rules, product configuration, and quote lifecycle.
Experience working with Revenue Recognition, billing, and subscription management within Revenue Cloud.
Collaborate with functional teams to analyze requirements and translate them into scalable technical solutions.
Hands-on experience with Salesforce deployment tools, version control (Git), and CI/CD pipelines.
Salesforce certifications such as Omnistudio Developer or CPQ Specialist are preferred.

Skill Set

• CI/CD
• CPQ
• Data Analyst - Revenue Operations
• Salesforce
• Velocity Developer

Requirements

We have a new requirement of Data and ML engineer .

Please find the details of the same.

Job Title -Data and ML engineer
 
No. Of years of experience – 5 to 7 years
Location – Chennai Preferred/Remote
No. Of position -1

BGV - Mandatory 
 
Job Description
Data Acquisition & Preparation:
Collect, preprocess, and clean large, complex datasets from multiple sources.
Develop and manage robust data pipelines to ensure seamless data ingestion and quality.
Model Development & Experimentation:
Build, test, and implement predictive and explanatory models using machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
Design and conduct experiments to validate models and continuously improve performance.
Dashboard & Reporting:
Develop interactive dashboards using visualization tools (e.g., Tableau, Metabase, Matplotlib, Seaborn) that enable stakeholders to make informed decisions.
Prepare detailed reports and presentations to communicate insights, trends, and recommendations.
Collaboration & Continuous Improvement:
Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
Stay up-to-date with emerging trends and technologies in data science and machine learning, integrating best practices into ongoing projects.
Qualifications
5–7 years of experience in data collection, preprocessing, and analysis of large enterprise-level data sets.
Proven expertise in statistical analysis, predictive modelling, and explanatory modelling techniques.
Strong proficiency in Python and experience with libraries such as Pandas, NumPy, scikit-learn, and frameworks like TensorFlow or PyTorch.
Extensive experience with data visualization tools such as Tableau, Metabase, Matplotlib, and Seaborn.
Hands-on experience working with NoSQL databases.
Demonstrated ability to extract meaningful insights from complex data sets and effectively communicate them to stakeholders.
 Nice to Have / Preferred Qualifications
Experience with building ETL pipelines is a plus.
Prior experience in data engineering and managing data pipelines.
Background in safety or health analytics projects.
Excellent communication skills and a collaborative mindset.
Please share relevant profiles with rate card and profiles in Word format.

Skill Set

• Data Engineer
• ETL
• Python
• PyTorch