Graphic Designer

SENIOR DATA ENGINEER:

ROLE SUMMARY:

Own the design and delivery of petabyte-scale data platforms and pipelines across AWS and modern Lakehouse stacks. You’ll architect, code, test, optimize, and operate ingestion, transformation, storage, and serving layers. This role requires autonomy, strong engineering judgment, and partnership with project managers, infrastructure teams, testers, and customer architects to land secure, cost-efficient, and high-performing solutions.

RESPONSIBILITIES:

• Architecture and design: Create HLD/LLD/SAD, source–target mappings, data contracts, and optimal designs aligned to requirements.
• Pipeline development: Build and test robust ETL/ELT for batch, micro-batch, and streaming across RDBMS, flat files, APIs, and event sources.
• Performance and cost tuning: Profile and optimize jobs, right-size infrastructure, and model license/compute/storage costs.
• Data modeling and storage: Design schemas and SCD strategies; manage relational, NoSQL, data lakes, Delta Lakes, and Lakehouse tables.
• DevOps and release: Establish coding standards, templates, CI/CD, configuration management, and monitored release processes.
• Quality and reliability: Define DQ rules and lineage; implement SLA tracking, failure detection, RCA, and proactive defect mitigation.
• Security and governance: Enforce IAM best practices, retention, audit/compliance; implement PII detection and masking.
• Orchestration: Schedule and govern pipelines with Airflow and serverless event-driven patterns.
• Stakeholder collaboration: Clarify requirements, present design options, conduct demos, and finalize architectures with customer teams.
• Leadership: Mentor engineers, set FAST goals, drive upskilling and certifications, and support module delivery and sprint planning.

REQUIRED QUALIFICATIONS:

• Experience: 15+ years designing distributed systems at petabyte scale; 10+ years building data lakes and multi-source ingestion.
•  Cloud (AWS): IAM, VPC, EC2, EKS/ECS, S3, RDS, DMS, Lambda, CloudWatch, CloudFormation, CloudTrail.
• Programming: Python (preferred), PySpark, SQL for analytics, window functions, and performance tuning.
• ETL tools: AWS Glue, Informatica, Databricks, GCP DataProc; orchestration with Airflow.
• Lakehouse/warehousing: Snowflake, BigQuery, Delta Lake/Lakehouse; schema design, partitioning, clustering, performance optimization.
• DevOps/IaC: Terraform with 15+ years of practice; CI/CD (GitHub Actions, Jenkins) with 10+ years; config governance and release management.
• Serverless and events: Design event-driven distributed systems on AWS.
• NoSQL: 2–3 years with DocumentDB including data modeling and performance considerations.
• AI services: AWS Entity Resolution, AWS Comprehend; run custom LLMs on Amazon SageMaker; use LLMs for PII classification.

NICE-TO-HAVE QUALIFICATIONS:

• Data governance automation: 10+ years defining audit, compliance, retention standards and automating governance workflows.
• Table and file formats: Apache Parquet; Apache Iceberg as analytical table format.
• Advanced LLM workflows: RAG and agentic patterns over proprietary data; re-ranking with index/vector store results.
• Multi-cloud exposure: Azure ADF/ADLS, GCP Dataflow/DataProc; FinOps practices for cross-cloud cost control.

OUTCOMES AND MEASURES:

• Engineering excellence: Adherence to processes, standards, and SLAs; reduced defects and non-compliance; fewer recurring issues.
• Efficiency: Faster run times and lower resource consumption with documented cost models and performance baselines.
• Operational reliability: Faster detection, response, and resolution of failures; quick turnaround on production bugs; strong release success.
• Data quality and security: High DQ pass rates, robust lineage, minimal security incidents, and audit readiness.
• Team and customer impact: On-time milestones, clear communication, effective demos, improved satisfaction, and completed certifications/training.

LOCATION AND SCHEDULE:

●      Location: Outside US (OUS).

●      Schedule: Minimum 6 hours of overlap with US time zones.

🚀 Hiring: Dot net full stack at Deqode

⭐ Experience: 8+ Years

📍 Location: Bangalore | Mumbai | Pune | Gurgaon | Chennai | Hyderabad

⭐ Work Mode:- Hybrid

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

We’re looking for an experienced Dotnet Full Stack Developer with strong hands-on skills in ReactJS, .NET Core, and Azure Cloud Services (Azure Functions, Azure SQL, APIM, etc.).

⭐ Must-Have Skills:-

➡️ Design and develop scalable web applications using ReactJS, C#, and .NET Core.

➡️Azure (Functions, App Services, SQL, APIM, Service Bus)

➡️Familiarity with DevOps practices, CI/CD pipelines, Docker, and Kubernetes.

➡️Advanced experience in Entity Framework Core and SQL Server.

➡️Expertise in RESTful API development and microservices.

About the Role

We are looking for a strong IC who can build systems from scratch and own them end-to-end. You will convert requirements into technical designs, develop across the stack, and deliver production-ready solutions with minimal supervision. You’ll be deeply hands-on, with a small mentorship component (~10%).

Responsibilities

• Architecture & Design:
• Translate product requirements into clear technical plans
• Design REST APIs, service boundaries, and system interactions
• Define caching, pagination, error handling, and performance strategies
• Ensure security, scalability, and reliability by design

• End-to-End Development:
• Build backend services in Node.js + TypeScript
• Develop responsive UI flows in React using Hooks and best patterns
• Integrate with external APIs/services, implement auth, and handle integration edge cases
• Write clean, modular code following SOLID and engineering standards

• Ownership & Delivery:
• Take features from concept → build → test → deploy → stabilize
• Work with CI/CD pipelines, containerization, and staging/prod environments
• Debug production issues, optimize performance, and ensure stability

• Engineering Quality:
• Maintain strong test coverage (unit/integration)
• Participate in code reviews, improve maintainability and patterns
• Identify technical risks and propose pragmatic solutions

• Mentorship (10%):
• Support juniors through reviews and pairing
• Share reusable patterns and best practices

Requirements

• 4–7 years of full-stack engineering experience
• Strong hands-on expertise in Node.js, TypeScript, React
• Proven track record of building products/features from scratch
• Experience with:
• REST architecture
• Async programming and performance tuning
• CI/CD, Docker, testing, and debugging complex issues
• Deploying and maintaining production-grade systems

Nice to Have

• Redis, Elasticsearch, queues (Kafka/RabbitMQ)
• Next.js, SSR/SSG
• Cloud experience (AWS/GCP/Azure) and monitoring tools

Title: Hands‑on Tech Lead (AI Agents, Automations, Chatbots)

Type: Full‑time (preferred) or full‑time‑equivalent contractor

Location: Remote (India-friendly), must overlap with founder for live collaboration

Comp: Flexible; you indicated up to ~$50k/year is comfortable for the right person

Why this role exists

We build and deploy rough-but-working “minimum viable applications” fast (days/weeks, not months) for small businesses, then gradually extract reusable components so the best solutions become repeatable products.

You’ll be the engineering owner who can design + ship, keep quality “clean enough,” and avoid the long-term trap of one-off scripts.

What you’ll build

• AI-agent driven automations using n8n (including agentic workflows, tool usage, memory/DB access, and production hardening). n8n explicitly positions AI Agents as autonomous workflows that make decisions and execute tasks, and provides dedicated AI agent capability pages/docs.  
• Conversational chatbots (web + messaging + optionally voice) with reliable orchestration, state, and analytics
• Voice experiences using ElevenLabs Text‑to‑Speech (and optionally Speech‑to‑Text), including real-time or low-latency flows.  
• Admin/internal tooling (e.g., Retool) to manage clients, prompts, workflows, logs, and operations. Retool’s own positioning: connect to databases/APIs/LLMs and build internal tools.  
• (If applicable) Voice agent platforms such as Retell AI (inbound/outbound voice agent platform + docs).  

Responsibilities

Shipping (hands-on)

• Build the first end‑to‑end “vertical slices” yourself (agent/workflow → backend/service → DB → UI/admin → deployment).
• Deliver working MVAs rapidly; optimize for time-to-deploy while maintaining baseline reliability.

Architecture & productization

• Define a lightweight but real architecture that supports:
• multi-client deployments (config/tenant separation)
• prompt/version management
• logging + observability
• secure secret handling
• repeatable integrations and “workflow templates”
• 
  
• Establish “golden path” patterns so new projects are mostly configuration + reuse.

Leadership

• Lead (and unblock) an Implementation Engineer: tickets, code review, standards, and technical direction.
• Produce short docs and checklists so others can build consistently.

Required experience (must-haves)

• Strong full‑stack fundamentals (API design, auth, data modeling, debugging, deployments).
• Proven experience building automation/workflow systems (preferably n8n in production).
• Experience with LLM + agent patterns: tool calling, retrieval/RAG, structured outputs, prompt/versioning, evaluation, failure handling.
• Conversational chatbot experience (web or messaging). Voice is a plus.
• Ability to design databases and data flows (Postgres/MySQL/etc.), including migrations and indexing.
• Strong written communication: can turn ambiguous needs into a plan, and can document the “how to run it.”

Strong plus

• Retool (or similar low-code internal tooling) experience.  
• ElevenLabs voice integration (TTS/STT) in production.  
• Experience with Retell AI or similar voice-agent platforms (Vapi/Retell/etc.).  
• Experience self-hosting and operating systems: Docker, CI/CD, monitoring, secrets.

About the Role

We are looking for a highly skilled and experienced Senior React Native Developer with backend experience to join our team and lead the development of our cross-platform mobile application and its supporting backend services. You'll play a pivotal role in building, launching, and scaling a high-performance app that runs seamlessly on both iOS and Android — all from a single codebase — while also architecting and maintaining robust backend infrastructure in Node.js.

If you're passionate about mobile technologies, experienced in backend systems, and excited about building high-quality products from the ground up, we’d love to hear from you Responsibilities

• Lead the end-to-end development of a cross-platform mobile application using React Native.
• Build and maintain backend services and APIs using Node.js, ensuring scalability and performance.
• Collaborate with product managers, designers, and other engineers to deliver intuitive and seamless user experiences.
• Design and implement secure, reusable, and modular components (both frontend and backend).
• Optimize app and API performance across a wide range of devices and platforms.
• Ensure app and backend compliance with modern security, performance, and design standards.
• Set up and manage CI/CD pipelines for both frontend and backend (e.g., Fastlane, EAS, GitHub Actions).
• Integrate third-party APIs, services, analytics, push notifications, and more.
• Manage app store submissions and backend deployments.
• Mentor junior developers and contribute to establishing mobile and backend development best practices.

Requirements

Must-Have:

• 5+ years of experience in full-stack or mobile application development.
• 3+ years of hands-on experience with React Native.
• 2+ years of experience working with Node.js for backend development.
• Strong understanding of JavaScript (ES6+), TypeScript, and modern React architecture.
• Experience designing and integrating RESTful APIs, managing authentication, and handling network issues.
• Deep knowledge of mobile app development lifecycle for both iOS and Android.
• Familiarity with native build tools (Xcode, Android Studio).
• Solid grasp of mobile UI/UX principles and performance optimization techniques.
• Proficiency with Git, GitHub/GitLab, and agile workflows.
• Experience with features like push notifications, deep linking, in-app purchases, and analytics SDKs.

Preferred:

• Experience with Expo or EAS for managed workflows.
• Knowledge of CI/CD tools (Fastlane, Bitrise, GitHub Actions, etc.).
• Exposure to native modules (Objective-C/Swift and Java/Kotlin).
• Familiarity with automated testing frameworks (Jest, Detox, etc.).
• Experience publishing apps to the App Store and Google Play.
• Prior experience in startups or high-growth product environments.
• Working knowledge of databases (e.g., MongoDB, PostgreSQL) and cloud infrastructure (e.g., AWS, Firebase).

What We Offer

• Opportunity to lead and build a product end-to-end — frontend and backend.
• Work with a dynamic, high-performing team in a fast-paced, collaborative environment.
• Remote-first culture with flexible working hours.
• Competitive salary and equity options (if applicable).
• Dedicated learning and development budget to help you grow.

Senior Executive - Analytics

Overview of job :-

Our Client is the world’s largest media investment company which is a part of WPP. They are a global digital transformation agency with 1200 employees across 21 nations. Our team of experts support clients in programmatic, social, paid search, analytics, technology, organic search, affiliate marketing, e-commerce and across traditional channels.

We are currently looking for a Sr Executive – Analytics to join us. In this role, you will be responsible for a massive opportunity to build and be a part of largest performance marketing setup APAC is committed to fostering a culture of diversity and inclusion. Our people are our strength so we respect and nurture their individual talent and potential.

Reporting of the role - This role reports to the Director - Analytics,

3 best things about the job:

1. Responsible for data & analytics projects and developing data strategies by diving into data and extrapolating insights and providing guidance to clients

2. Build and be a part of a dynamic team

3. Being part of a global organisations with rapid growth opportunities

Responsibilities of the role:

 Build Marketing-Mix and Multi-Touch attribution models using a range of tools, including free and paid.

 Work with large data sets via hands-on data processing to produce structured data sets for analysis.

 Design and build Visualization, Dashboard and reports for both Internal and external clients using Tableau, Power BI, Datorama or R Shiny/Python.

What you will need:

 Degree in Mathematics, Statistics, Economics, Engineering, Data Science, Computer Science or quantitative field.

 2-3 years’ experience in Marketing/Data Analytics or related field with hands-on experience in building Marketing-Mix and Attribution models.  Proficiency in one or more coding languages – preferred languages: Python, R

 Proficiency in one or more Visualization Tools – Tableau, Datorama, Power BI

 Proficiency in using SQL.

 Proficiency with one or more statistical tools is a plus – Example: SPSS, SAS, MATLAB, Mathcad.

 Working experience using big data technologies (Hive/Hadoop) is a plus

• Collaborate with the business teams to understand the data environment in the organization; develop and lead the Data Scientists team to test and scale new algorithms through pilots and subsequent scaling up of the solutions
• Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service
• Act as the single point source for all data related queries; strong understanding of internal and external data sources; provide inputs in deciding data-schemas
• Design, develop and maintain the framework for the analytics solutions pipeline
• Provide inputs to the organization’s initiatives on data quality and help implement frameworks and tools for the various related initiatives
• Work in cross-functional teams of software/machine learning engineers, data scientists, product managers, and others to build the AI ecosystem
• Collaborate with the external organizations including vendors, where required, in respect of all data-related queries as well as implementation initiatives

About LodgIQ

LodgIQ is led by a team of experienced hospitality technology experts, data scientists and product domain experts. Seed funded by Highgate Ventures, a venture capital platform focused on early stage technology investments in the hospitality industry and Trilantic Capital Partners, a global private equity firm, LodgIQ has made a significant investment in advanced machine learning platforms and data science.

Title : Data Scientist

• Apply Data Science and Machine Learning to a REAL-LIFE  problem  - “Predict Guest Arrivals and Determine Best Prices for Hotels”
• Apply advanced analytics in a BIG Data Environment – AWS, MongoDB, SKLearn
• Help scale up the product in a global offering across 100+  global markets

• Minimum 3 years of experience with advanced data analytic techniques, including data mining, machine learning, statistical analysis, and optimization.    Student projects are acceptable.
• At least 1 year of experience with Python / Numpy / Pandas / Scipy/ MatPlotLib / Scikit-Learn
•   Experience in working with massive data sets, including structured and unstructured with at least 1 prior engagement involving data gathering, data cleaning, data mining, and data visualization
•   Solid grasp over  optimization techniques
•   Master's  or PhD degree in Business Analytics.  Data science, Statistics or Mathematics
•   Ability to show a track record of solving large, complex problems