11+ Oracle Warehouse Builder Jobs in India
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Good knowledge of Informatica ETL, Oracle Analytics Server
Analytical ability to design warehouse as per user requirements mainly in Finance and HR domain
Good skills to analyze existing ETL, dashboard to understand the logic and do enhancements as per
requirements
Good communication skills and written communication
Qualifications
Master or Bachelor degree in Engineering/Computer Science /Information Technology
Additional information
Excellent verbal and written communication skills
What We’re Looking For
- Looking for a Python Lead with 5 to 8 years of experience who can design, architect, and build secure, scalable, production-grade backend systems.
- Expert-level proficiency in Python with strong hands-on experience in Django or Flask.
- Experience with RESTful API design and Websockets.
- Must have a solid foundation in design patterns, algorithms, and data structures.
- Advanced database skills across PostgreSQL, MySQL, and MongoDB.
- Well-versed in caching systems like Redis.
- Experience with queuing systems like RabbitMQ or Kafka.
- Experience with container-based deployments using Docker.
- Proficient in cloud platforms — specifically AWS (EC2, S3, Lambda) and GCP (Compute Engine, Cloud Storage, Cloud Functions).
- Experience setting up and managing CI/CD pipelines using Jenkins, GitLab CI, or GitHub Actions.
- Strong command of Git, Linux, and version control workflows.
- Preferred: Working knowledge of AI/ML concepts.
- Preferred: Hands-on experience with RAG pipelines.
- Preferred: Experience with LLM integrations.
- Preferred: Experience with Vector Databases such as Pinecone or ChromaDB.
- Builder mindset with ownership from idea to production.
- Writes clean and well-tested code.
- Comfortable mentoring junior developers in a fast-paced startup environment.
- Must be based in India — open to working from Coimbatore or fully remote.
- Immediate or 30-day joiners preferred.
About Us Simbian® is building Agentic AI platform for cybersecurity. Founded by repeat successful security founders, we have gathered an excellent cohort of employees, partners, and customers. Our mission is to solve security using AI and our core values are excellence, replication, and intellectual honesty.
Our promise is to make Simbian the best workplace of your career and we believe a small group of thoughtful passionate people can make all the positive difference in the world. To fuel our fast growth, we are seeking an exceptional candidate who shares our core values of excellence (being the world's best at our craft), replication (share your best ideas with others), and intellectual honesty (tell the truth even if it's bitter).
Our AI Agents automate security operations and provide our customers 10x leverage. Our customers include some of the world's largest companies.
Our initial use cases include: SOC alert triage and investigation Prioritization and classification of vulnerabilities AI based threat hunting
As an Engineering Manager, you will lead a pod of highly skilled engineers responsible for building critical components of Simbian’s platform—from scalable backend services and data pipelines to integrations with security tools and novel AI-driven investigation engines. You’ll be responsible for driving execution, mentoring engineers, and shaping technical direction while working closely with product, AI/ML, and security teams.
This role is ideal for a hands-on leader who thrives in startup environments, is comfortable balancing execution with strategy, and can guide engineers to build reliable, secure, and scalable systems.
Responsibilities
• Lead and mentor a pod of backends, frontend, or platform engineers (depending on pod assignment: e.g., Integrations, Investigation Infra, Threat Hunting, etc.).
• Drive delivery of product and platform features aligned to quarterly OKRs
• Establish engineering best practices for code quality, observability, security, and reliability
• Collaborate with product managers and security SMEs to define technical scope, execution plans, and delivery timelines.
• Provide technical guidance in architecture decisions across areas such as: 1. Scalable microservices 2. Security product integrations (EDR, SIEM, CNAPP, etc.)
• Data pipelines (historical + real-time event ingestion)
• AI/ML systems for reasoning and automation
• Recruit, develop, and retain top engineering talent.
• Ensure pods maintain a high bar for innovation, execution, and collaboration.
Requirements
• 12+ years of professional software engineering experience in security domain, with at least 3+ years leading or managing engineering teams. • Strong background in building scalable backend systems (Python, Go, or Java preferred).
• Experience with cloud-native architectures (Kubernetes, Postgres, vector databases, OpenSearch, etc.).
• Familiarity with data pipelines (ETL/ELT, orchestration frameworks like Dagster/Airflow, streaming systems).
• Exposure to security products and data (SIEM, EDR, CNAPP, vulnerability management) is a strong plus.
• Track record of leading pods/teams to deliver complex technical projects with measurable outcomes.
• Strong communication skills, with the ability to work cross-functionally with product, AI/ML, and security teams.
• Startup mindset: bias for execution, ability to operate with ambiguity, and eagerness to wear multiple hats.
Nice to Have
• Experience with AI/ML pipelines, LLM integration, or security-focused AI applications.
• Knowledge of SOC processes, MITRE ATT&CK, or incident response workflows.
• Contributions to open-source projects in data, security, or AI. • Previous experience scaling teams at an early-stage startup.
Benefits
• Competitive salary commensurate with experience
• Generous early-stage equity with significant upside potential
• Annual performance bonuses tied to company and individual goals
Budget- under 90L annually

Global Digital Transformation Solutions Provider
Job Details
- Job Title: ML Engineer II - Aws, Aws Cloud
- Industry: Technology
- Domain - Information technology (IT)
- Experience Required: 6-12 years
- Employment Type: Full Time
- Job Location: Pune
- CTC Range: Best in Industry
Job Description:
Core Responsibilities:
? The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency
? Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.
? Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.
? Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.
? System Integration: Integrate models into existing systems and workflows.
? Model Deployment: Deploy models to production environments and monitor performance.
? Collaboration: Work closely with data scientists, software engineers, and other stakeholders.
? Continuous Improvement: Identify areas for improvement in model performance and systems.
Skills:
? Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).
? Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaossearch logs, etc for troubleshooting; Other tech touch points are ScyllaDB (like BigTable), OpenSearch, Neo4J graph
? Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.
? Knowledge of model monitoring and performance evaluation.
Required experience:
? Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sagemaker pipeline with ability to analyze gaps and recommend/implement improvements
? AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in
ML workflows
? AWS data: Redshift, Glue
? Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)
Skills: Aws, Aws Cloud, Amazon Redshift, Eks
Must-Haves
Aws, Aws Cloud, Amazon Redshift, Eks
NP: Immediate – 30 Days
Software Engineer – 3D, Geometry, CAD Applications
(Desktop / Cloud / Machine)
JOB RESPONSIBILITIES
• You will collaborate with a multidisciplinary engineering team to develop various
applications for the Additive Manufacturing process chain.
• You will be required to research and implement advanced algorithms and mathematical
models.
• You will optimize CPU performance and memory usage of applications.
• You will be involved in the design of the software architecture.
• You should be self-motivated and have strategic thinking abilities.
• The working environment and architecture primarily consists of C++ geometry processing
and simulation libraries, coupled with visualization frameworks.
ESSENTIAL RESPONSIBILITIES
• Writing and Documenting High-Quality Code for Additive Manufacturing applications
• Developing Algorithms for Performance Improvements
• Bug Fixing and Regression Testing
• Developing Test Cases
• Designing, Developing and Implementing Geometry Processing Libraries
• Leading a Team of Junior Software Engineers and Developers (This ability will be a plus)
REQUIRED
• Bachelors / Masters in Mechanical Engineering, Computer Science or related field with 3-
5 Years of Experience.
• Good Understanding of OOPs Concepts, Design Patterns
• Hands-On Experience in Developing Applications for The Geometry Domain
• Math Proficiency - Linear Algebra, Numerical Analysis, Computational Geometry
• Ability to Work with A Multi-Disciplinary Team of Engineers.
• Technologies (Some combination of these will be suitable)
o Strong C++, C# Skills
o Python
o OpenGL, WPF
o C#.Net, ASP.NET
o JavaScript, React, Node.js
o GPGPU, CUDA
o Full-stack cloud development
o Familiarity with Azure Dev Ops
BIG PLUS
• 3D Graphics Experience
• Machine Learning Experience
• Knowledge of Meshing and Mesh Topology
• Familiarity with 3D Printing in General and Metal 3D Printing in Particular
• Knowledge of Cloud technologies / Developing applications for the Cloud
We are hiring
Get in touch with us if you have the aptitude/inclination towards developing cutting-edge software
products related to 3D, CAD, Additive Manufacturing. These products incorporate machine
learning and other intelligent algorithms that we will deploy on the desktop and the cloud.
About Intech Additive Solutions
www.intechadditive.com
https://www.linkedin.com/company/intechadditive
Intech Additive Solutions Pvt. Ltd is the first Indian Original Equipment Manufacturer (OEM) to
develop and supply Metal 3D Printers based on Laser Powder Bed Fusion (LPBF) technology.
Intech Additive is a complete solutions provider in Metal Additive Manufacturing (AM) systems and
AM Software. With its software suite, Intech's Metal 3D Printers provide customers with a readyto-
print AM solution out-of-the-box coupled with local after-sales services.
Intech is among the few OEMs to globally integrate its iFusion SF1 and iFusion LF series of Metal
3D Printers with its in-house developed build processing software – AMBuilder and parameter
optimization software - AMOptoMet.
Global German/Japanese Machine tool major DMG MORI has invested in Intech and is on the
advisory board.
Our roadmap and plans
• We are building software products and machines that will work together with modular
configurations. In addition, we hope to expand the metal AM ecosystem by making
adoption easy.
• We are committed to delivering first-time-right solutions, reducing the cost-per-part to
traditional manufacturing methods and providing a quick ROI to our customers.
• We are invested in growing the metal AM ecosystem and expanding its adoption in India
and beyond, with competitively priced products without sacrificing quality.
• We maintain our strategic advantage with relentless innovation that generates Intellectual
Property. We have filed for patents for our essential inventions and have a healthy pipeline
of new inventions to grow our IP portfolio.
Job Opening: Life Insurance Sales Manager
📍 Location: Telangana & Andhra Pradesh
💰 Salary: ₹20,000 – ₹30,000 + 10% incentives
Requirements:
* Bachelor’s degree
* 2–5 years’ experience in Life Insurance Sales / Channel Partner Management
* Strong knowledge of insurance products & regulations
Responsibilities:
* Recruit, train & manage 5–10 advisors per month
* Drive sales through channel partners & meet targets
* Ensure compliance & advisor performance
Software Engineer
Opportunity in this role / Why should you join us?
- You are your own master. We don't preach you, we just allow you to Innovate, Iterate, Learn and Adapt
- Work with one of India's leading fintech unicorn company
- ESOPs in the company
Requirements
- 3+ years and above exposure in the art of writing codes and solving problems for large scale
- Extensive and expert programming experience in any one programming language (strong OOPS skills preferred). Deep experience in a java programming language
- A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design.
- Have a penchant for solving complex and interesting problems.
- BE/BTech, MTech in Computer Science or related technical discipline (or equivalent).
- Excellent coding skills – should be able to convert the design into code fluently Good skills to write unit & integration tests with reasonable coverage of code & interfaces - TDD is a plus
- Experience in building highly scalable business applications, which involve implementing large complex business flows and dealing with the huge amount of data. Experience with
multi-threading and concurrency programming
- Ability to switch between the technologies and learn new skills on the go.
Roles and Responsibilities
- Drive discussions to create/improve the product, process and technology
- Build abstractions and contracts with separation of concerns for a larger scope
- Rapid prototyping
- Robust and scalable web-based applications
- Do high-level design with guidance; Functional modelling, break-down of a module
- Thinking platforms & reuse, the open-source contribution will be a plus
- Do incremental changes to architecture: impact analysis of the same
- Do performance tuning and improvements in large scale distributed systems
- Mentor young minds and foster team spirit.
This role involves remote work and we are open to both full time and part time work. It requires a basic commitment of 20 hours per week
- Design and build reliable distributed systems that handle high volumes of data With low latency.
- Maintain, support, and enhance business-critical systems.
- Ensure timely and high quality of software development w.r.t to project architecture, code quality, testing, and deployment.
- Own complete service lifecycle including development, deployment, performance on scale, and monitoring.
- Make your mark on ambitious projects
Backend Tech Stack
- Go and Scala
- Environments build around Docker and GCP
- Complete Kubernetes infrastructure
Requirements
- Is a great problem solver who takes pride in their work
- Is comfortable with the unknown and loves to experiment
- Can construct good arguments for methodologies or practices
- Strong concepts of clean code principles
- Has worked with, or understands the principles behind working with data at scale
Salary Offer: 25,000 - 35,000 per month
Job Location: Remote for 6-12 months due to the pandemic, then Mumbai, Maharashtra
Required experience: Skilled Shopify developer with 1-3 years of strong experience in setting up, managing and scaling Shopify based websites.
Key Skills required :
1. In-depth experience with Shopify's Liquid language.
2. Strong experience in building custom Shopify themes
3. Strong hands on experience insetting up & customizing existing Shopify themes.
4. Strong expertise in HTML5, CSS3, Javascript/Jquery with thorough experience of developing responsive layouts for desktop, tablet, and mobile devices.
5. Experience building, launching and maintaining Shopify stores, as well as overall knowledge of the Shopify platform.
6. Experience with implementing/debugging 3rd party Shopify apps as well as creating custom solutions if necessary.
7. Thorough testing and debugging skills with browser console and external tools
8. Experience with Shopify's object/properties, API, and Meta fields.
9. Experience working with Shopify apps and 3rd party services.
10. Excellent communication skills are required, giving proactive feedback to peers and team
11. In-depth knowledge of speed optimisation of Shopify stores.
12. Knowledge in other e-commerce platforms WooCommerce
KRAs includes :
1. Understanding client briefs clearly
2. Proposing suitable themes and apps for a project including the possibility of building custom themes
3. Building custom themes from UIs based on project requirements using Liquid
4. Building custom functionality as and when required
5. Setting up the store and Implementing the overall functionality as required including themes, apps and other customizations
6. Ensuring that all content and products are uploaded as per the client’s requirement
7. Maintaining and upgrading the store theme and functionality on an ongoing basis
8. Bug fixing issues reported by the QA team
products.
System impact analysis, design, local code development, Unit Test, application/installation of application
product patches/core package, support for system integration test/user acceptance test, and implementation
support.
Produce required SDLC(System Development Life Cycle) artefacts, including specification documents, layouts,
diagrams and manuals.
System environment support and maintenance in production environment and test environment.
BAU support for branches such as trouble shooting and QA.
Collaborate with partners across IT and business groups.


