
We are seeking a skilled Cloud Data Engineer who has experience with cloud data platforms like AWS or Azure and especially Snowflake and dbt to join our dynamic team. As a consultant, you will be responsible for developing new data platforms and create the data processes. You will collaborate with cross-functional teams to design, develop, and deploy high-quality frontend solutions.
Responsibilities:
Customer consulting: You develop data-driven products in the Snowflake Cloud and connect data & analytics with specialist departments. You develop ELT processes using dbt (data build tool)
Specifying requirements: You develop concrete requirements for future-proof cloud data architectures.
Develop data routes: You design scalable and powerful data management processes.
Analyze data: You derive sound findings from data sets and present them in an understandable way.
Requirements:
Requirements management and project experience: You successfully implement cloud-based data & analytics projects.
Data architectures: You are proficient in DWH/data lake concepts and modeling with Data Vault 2.0.
Cloud expertise: You have extensive knowledge of Snowflake, dbt and other cloud technologies (e.g. MS Azure, AWS, GCP).
SQL know-how: You have a sound and solid knowledge of SQL.
Data management: You are familiar with topics such as master data management and data quality.
Bachelor's degree in computer science, or a related field.
Strong communication and collaboration abilities to work effectively in a team environment.
Skills & Requirements
Cloud Data Engineering, AWS, Azure, Snowflake, dbt, ELT processes, Data-driven consulting, Cloud data architectures, Scalable data management, Data analysis, Requirements management, Data warehousing, Data lake, Data Vault 2.0, SQL, Master data management, Data quality, GCP, Strong communication, Collaboration.

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We are looking for a skilled .NET Developer to design and develop scalable microservices and enterprise-grade applications. The role involves building secure REST APIs, writing clean and testable code, working with Docker-based deployments, and collaborating with cross-functional teams.
Key Responsibilities:
- Develop .NET Core microservices
- Build and secure REST APIs
- Write unit & integration tests
- Deploy applications using Docker
- Ensure performance optimization and code quality
3 Mandatory Skills
- .NET Core / ASP.NET Core Web API
- Microservices & Docker
- REST API development with Unit Testing
Job Description:
Position - Cloud Developer
Experience - 5 - 8 years
Location - Mumbai & Pune
Responsibilities:
- Design, develop, and maintain robust software applications using most common and popular coding languages suitable for the application design, with a strong focus on clean, maintainable, and efficient code.
- Develop, maintain, and enhance Terraform modules to encapsulate common infrastructure patterns and promote code reuse and standardization.
- Develop RESTful APIs and backend services aligned with modern architectural practices.
- Apply object-oriented programming principles and design patterns to build scalable systems.
- Build and maintain automated test frameworks and scripts to ensure high product quality.
- Troubleshoot and resolve technical issues across application layers, from code to infrastructure.
- Work with cloud platforms such as Azure or Google Cloud Platform (GCP).
- Use Git and related version control practices effectively in a team-based development environment.
- Integrate and experiment with AI development tools like GitHub Copilot, Azure OpenAI, or similar to boost engineering efficiency.
Skills:
- 5+ years of experience
- Experience with IaC Module
- Terraform coding experience along with Terraform Module as a part of central platform team
- Azure/GCP cloud experience is a must
- Experience with C#/Python/Java Coding - is good to have
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Responsible for disposal of trash, waste, and other disposable material. Monitoring the use of equipment and supplies within the office. Dealing with queries or requests from the visitors and employees. Coordinating the maintenance and repair of office equipment.
Role will be to sell IT hardware and software of different OEM. Sell IT Implementation and management services offerings of out organisation.
We are dealing in Networking devices, firewall, laptops, server and implementation services.
Sales + incentives based on Sales
- A Data and MLOps Engineering lead that has a good understanding of modern Data engineering frameworks with a focus on Microsoft Azure and Azure Machine Learning and its development lifecycle and DevOps.
- Aims to solve the problems encountered when turning Data into meaningful solutions using transformations and data science code into production Machine Learning systems. Some of these challenges include:
- ML orchestration - how can I automate my ML workflows across multiple environments
- Scalability - how can I take advantage of the huge computational power available in the cloud?
- Serving - how can I make my ML models available to make predictions reliably when needed?
- Monitoring - how can I effectively monitor my ML system in production to ensure reliability? Not just system metrics, but also get insight into how my models are performing over time
- Reuse – how can I profess reuse of artefacts built and establish templates and patterns?
The MLOps team works closely with ML Engineering and DevOps teams. Rather than focus just on individual use cases, the focus would be to specialise in building the platforms and tools that can help adoption of MLOps across the organisation and develop best practices and ways of working to develop a state of the art MLOps capability.
A good understanding of AI/Machine Learning and software engineering best practices such as Cloud Engineering, Infrastructure-as-Code, and CI/CD.
Have excellent communication and consulting skills, while delivering innovative AI solutions on Azure.
Responsibilities will include:
- Building state-of-the-art MLOps platforms and tooling to help adoption of MLOps across organization
- Designing cloud ML architectures and provide a roadmap for flexible patterns
- Optimizing solutions for performance and scalability
- Leading and driving the evolving best practices for MLOps
- Helping to showcase expertise and leadership in this field
Tech stack
These are some of the tools and technologies that we use day to day. Key to success will be attitude and aptitude with a vision to build the next big thing in AI/ML field.
- Python - including poetry for dependency management, pytest for automated testing and fastapi for building APIs
- Microsoft Azure Platform - primarily focused on Databricks, Azure ML
- Containers
- CI/CD – Azure DevOps
- Strong programming skills in Python
- Solid understanding of cloud concepts
- Demonstrable interest in Machine Learning
- Understanding of IaC and CI/CD concepts
- Strong communication and presentation skills.
Remuneration: Best in the industry
Connect: https://www.linkedin.com/in/shweta-gupta-a361511
About Us
Mindtickle provides a comprehensive, data-driven solution for sales readiness and enablement that fuels revenue growth and brand value for dozens of Fortune 500 and Global 2000 companies and hundreds of the world’s most recognized companies across technology, life sciences, financial services, manufacturing, and service sectors.
With purpose-built applications, proven methodologies, and best practices designed to drive effective sales onboarding and ongoing readiness, mindtickle enables company leaders and sellers to continually assess, diagnose and develop the knowledge, skills, and behaviors required to engage customers and drive growth effectively. We are funded by great investors, like – Softbank, Canaan partners, NEA, Accel Partners, and others.
Job Brief
We are looking for a rockstar researcher at the Center of Excellence for Machine Learning. You are responsible for thinking outside the box, crafting new algorithms, developing end-to-end artificial intelligence-based solutions, and rightly selecting the most appropriate architecture for the system(s), such that it suits the business needs, and achieves the desired results under given constraints.
Credibility:
- You must have a proven track record in research and development with adequate publication/patenting and/or academic credentials in data science.
- You have the ability to directly connect business problems to research problems along with the latest emerging technologies.
Strategic Responsibility:
- To perform the following: understanding problem statements, connecting the dots between high-level business statements and deep technology algorithms, crafting new systems and methods in the space of structured data mining, natural language processing, computer vision, speech technologies, robotics or Internet of things etc.
- To be responsible for end-to-end production level coding with data science and machine learning algorithms, unit and integration testing, deployment, optimization and fine-tuning of models on cloud, desktop, mobile or edge etc.
- To learn in a continuous mode, upgrade and upskill along with publishing novel articles in journals and conference proceedings and/or filing patents, and be involved in evangelism activities and ecosystem development etc.
- To share knowledge, mentor colleagues, partners, and customers, take sessions on artificial intelligence topics both online or in-person, participate in workshops, conferences, seminars/webinars as a speaker, instructor, demonstrator or jury member etc.
- To design and develop high-volume, low-latency applications for mission-critical systems and deliver high availability and performance.
- To collaborate within the product streams and team to bring best practices and leverage world-class tech stack.
- To set up every essentials (tracking / alerting) to make sure the infrastructure / software built is working as expected.
- To search, collect and clean Data for analysis and setting up efficient storage and retrieval pipelines.
Personality:
- Requires excellent communication skills – written, verbal, and presentation.
- You should be a team player.
- You should be positive towards problem-solving and have a very structured thought process to solve problems.
- You should be agile enough to learn new technology if needed.
Qualifications:
- B Tech / BS / BE / M Tech / MS / ME in CS or equivalent from Tier I / II or Top Tier Engineering Colleges and Universities.
- 6+ years of strong software (application or infrastructure) development experience and software engineering skills (Python, R, C, C++ / Java / Scala / Golang).
- Deep expertise and practical knowledge of operating systems, MySQL and NoSQL databases(Redis/couchbase/mongodb/ES or any graphDB).
- Good understanding of Machine Learning Algorithms, Linear Algebra and Statistics.
- Working knowledge of Amazon Web Services(AWS).
- Experience with Docker and Kubernetes will be a plus.
- Experience with Natural Language Processing, Recommendation Systems, or Search Engines.
Our Culture
As an organization, it’s our priority to create a highly engaging and rewarding workplace. We offer tons of awesome perks, great learning opportunities & growth.
Our culture reflects the globally diverse backgrounds of our employees along with our commitment to our customers, each other, and a passion for excellence.
To know more about us, feel free to go through these videos:
1. Sales Readiness Explained: https://www.youtube.com/watch?v=XyMJj9AlNww&t=6s
2. What We Do: https://www.youtube.com/watch?v=jv3Q2XgnkBY
3. Ready to Close More Deals, Faster: https://www.youtube.com/watch?v=nB0exreVU-s
To view more videos, please access the below-mentioned link:
https://www.youtube.com/c/mindtickle/videos
Mindtickle is proud to be an Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.
Your Right to Work - In compliance with applicable laws, all persons hired will be required to verify identity and eligibility to work in the respective work locations and to complete the required employment eligibility verification document form upon hire.
Zobaze is an early-stage startup, based out of THUB, Hyderabad.
Experienced developers who can develop Mobile Applications using Flutter.
Work closely with founders on building product.
Requirements -
Strong Knowledge of Java
Experience in building Apps with Android Studio
Product mindset, ability to take product manager hat if required in the future.
Have to do multiple tasks if required
Stock Options ( ESOP )
Note: It's not a 9to5 job.
A lot to learn.










