Data Engineer

We are looking for a proactive and hands-on IT Operations Engineer to manage, support, and scale our IT infrastructure as we grow. You will play a key role in ensuring system reliability, security, and smooth day-to-day operations in a fast-paced startup environment.

This role requires a strong sense of ownership, problem-solving skills, and the ability to work independently while collaborating closely with engineering and business teams.

Manage and maintain IT infrastructure including servers, networks, cloud services, and endpoints

Monitor system performance, uptime, and availability; proactively resolve issues

Support cloud environments (Azure) and basic DevOps workflows

Role Overview

We are seeking a hands-on technology POD Lead who blends engineering excellence with statistical rigor and business acumen to drive end-to-end product delivery in an agile, data-driven environment. The ideal candidate will lead a multidisciplinary team of BI developers, data engineers, ML practitioners, and product analysts to accelerate business growth through scalable, AI-enabled products, econometric models and intelligent insights.

This role sits at the intersection of engineering, analytics, econometrics, MLOps and growth strategy, requiring a balance of technical depth, stakeholder engagement, and agile execution.

Key Responsibilities

1. Leadership & Delivery

• Lead a cross-functional pod of data engineers, BI developers, statisticians and machine learning engineers to deliver AI-powered products and analytics solutions.
• Translate strategic goals into data science roadmaps executed in agile sprints, ensuring measurable business outcomes for every release.
• Foster a culture of experimentation, accountability, and rapid iteration across data, AI, and product workstreams.

2. Product & Business Integration

• Partner with business stakeholders across Sales, Marketing, Finance, and Operations to identify high-impact use cases such as churn prediction, growth forecasting, pricing optimization, causal impact analysis or next-best-action recommendations.
• Drive the roadmap for analytical and econometric product capabilities (e.g., predictive dashboards, personalization engines, time-series forecasting, and more).
• Ensure all solutions are aligned with enterprise data strategy, governance, MLOps lifecycle and security standards.

3. Technical Execution

• Collaborate with ML engineers to productionalize models using Databricks, MLflow, Azure ML, or equivalent CI/CD MLOps frameworks.
• Guide teams on feature engineering, model selection, hyperparameter tuning, and validation for statistical and machine learning models.
• Encourage adoption of reusable data assets, API-based integrations, and modular code frameworks.
• Oversee econometric modeling, causal inference studies, and time-series forecasting for business-critical decision-making.
• Champion model lifecycle management, including version control, retraining pipelines, and performance drift monitoring.

4. Business Intelligence & Data Storytelling

• Supervise the creation of advanced BI dashboards and insight layers powered by predictive and generative AI.
• Translate complex statistical outputs into actionable business narratives for executive decision-making.
• Champion KPI alignment and measurement frameworks, ensuring analytics deliver quantifiable value to revenue, growth, retention, and operational efficiency metrics.

5. Agile Program Management

• Manage sprint planning, backlog prioritization, and resource allocation across concurrent projects.
• Track velocity, quality metrics, and ROI impact for each product stream.
• Coach teams on agile best practices and outcome-oriented delivery.

Qualifications

Required

• 10+ years of total experience with at least 3 years in a tech lead capacity.
• Proven expertise in Python, SQL, statistical modeling (e.g., regression, time-series, causal inference) and one or more of Power BI, Tableau, MicroStrategy.
• Strong foundation in data engineering, cloud architecture (Azure/AWS/GCP), and ML model deployment.
• Experience leading cross-functional agile teams with engineers, analysts, and data scientists.
• Excellent communication and stakeholder management skills — capable of simplifying complex data stories for business leaders.

Preferred

• Experience in forecasting models, econometrics, and experimental design (A/B testing, uplift modeling).
• Exposure to MLOps tools (MLflow, Kubeflow, Airflow, Azure ML pipelines) and monitoring frameworks for models in production.
• Familiarity with agentic AI, LLM-based product development, or generative analytics use cases.
• Prior experience building analytics or AI solutions in B2B, SaaS, or digital transformation contexts.
• Certifications in Agile, Cloud (Azure ML, AWS Data Analytics), or Data Science specialization are a plus.

Key Traits

• Hands-on technologist who can code, review, and guide with empathy.
• Strategic thinker who connects product vision with execution.
• Comfortable operating in ambiguity and scaling solutions from POC to enterprise rollout.
• Passionate about mentoring teams and embedding a data-first, growth-oriented mindset.

Role Overview

We are looking for a highly skilled Full Stack Software Developer with expertise in Node.js, TypeScript, React, and JavaScript. The ideal candidate will have strong experience in Object-Oriented Programming (OOP), software engineering methodologies, and Agile practices. You should be comfortable working in a fast-paced, continuous deployment environment and have a passion for building scalable, high-performance applications.

Key Responsibilities

• Test-Driven Development (TDD): Write tests before implementation to ensure code quality.
• Clean & Maintainable Code: Develop self-explanatory, efficient, and well-structured code.
• Frequent Releases: Deploy small, incremental updates frequently.
• Pair Programming: Work collaboratively in pairs to improve efficiency and code quality.
• Peer Reviews: Conduct and participate in code reviews for continuous improvement.
• Full-Stack Development: Handle both frontend and backend, including infrastructure and DevOps pipelines.
• Product Development: Collaborate closely with the product team to roll out new features and fixes.
• Continuous Learning: Stay updated with the latest technologies and best practices.

Required Skills & Experience

• Strong proficiency in:
• Node.js, TypeScript, React, and JavaScript
• Object-Oriented Programming in JavaScript
• Data structures, algorithms, and software engineering methodologies
• Experience in Agile & Extreme Programming (XP)

• Familiarity with:
• Web server ecosystems
• Relational DBMS
• CI/CD tools such as Jenkins, Hudson, and Bamboo
• Web frameworks and frontend technologies
• Complexity analysis and performance optimization
• Server configuration and deployment infrastructure

• Experience using:
• Source control and bug tracking systems
• Writing user stories and technical documentation
• Bonus: Experience with Swift or iOS development is a plus.

Key Responsibilities

Curriculum Development: Create and implement lesson plans focusing on Hindi language, literature, grammar, and vocabulary.

Instruction: Conduct classes, using creative and interactive methods like role-playing, debates, and quizzes to improve fluency.

Assessment: Evaluate student performance through exams, assignments, and regular quizzes.

Classroom Management: Foster a positive, engaging learning environment for diverse learning styles.

Communication: Maintain regular communication with parents regarding student progress and behavioral, academic concerns.

Extracurricular Activities: Organize and participate in school events, such as Hindi literary activities, elocution, or competition

EDUCATION & EXPERIENCE :

- A professional degree in Computer Science from a reputable institution, backed by a consistent academic record.

- A knack for problem-solving, data structures, and algorithms.

- Proficiency in ElasticSearch.

- 6+ years of hands-on development experience, primarily in building products for large enterprises.

- Exceptional communication skills.

- Mastery in Java programming; familiarity with Python is a plus.- Experience with Spring Boot.

- Practical knowledge of one or more cloud-based technologies (e.g., ElasticSearch, Storm, Hazelcast, MongoDB, Ceph, Kafka) is highly desirable.

- Expertise in building concurrent and/or parallelized, highly performant scalable applications.

- A track record of identifying and addressing complex issues in scalable deployments.

- Exposure to Service-Oriented Architecture (SOA) and Test-Driven Development (TDD) is an added advantage.

ROLES & RESPONSIBILITIES :

- Dive deep into technical aspects (Analysis, Design & Implementation) as required.

- Take complete ownership of features within the product.

- Engage in debates and detailed discussions about functional and non-functional requirements with our Product Management team.

- Collaborate with the team to design solutions, seeking stakeholder input before implementation.

- Create essential artifacts such as functional specifications and detailed designs for your assigned features.

- Implement intricate features with an unwavering commitment to quality, following the Test- Driven Development (TDD) process.

- Maintain open lines of communication, promptly reporting risks and progress to your supervising manager.

- Share your expertise and mentor team members.

- Provide support by troubleshooting and creating Root Cause Analysis (RCA) for production issues, subsequently working on short-term and long-term solutions.

About Snaptrude: Figma for Building Design

Snaptrude helps design teams build more efficient & sustainable buildings in 1/10th of the time. Snaptrude instantly generates real-world data around climate impact, budget, compliance, etc helping teams make better design decisions. All this while enabling collaboration between team members and customers to gather feedback in real-time. Backed by Accel Partners with a team of 16 people. We are used by over 4k users globally.

Website:http://snaptrude.com/" target="_blank">http://snaptrude.com/

Location: Remote

Position: Full Stack Engineer

Responsibilities

• Build modular, reusable components and features
• Own & implement modules in the product with a huge amount of autonomy
• Find and address front-end performance issues
• Collaborate with a small and nimble team of engineers

Required Qualifications

• 1+ years of software development work experience, preferably with exposure to front-end Javascript frameworks like ReactJs
• Very strong fundamentals in Javascript programming
• An added benefit if familiar with ExpressJS and/or Django frameworks
• Strong fundamentals in Algorithms & Data Structures
• You learn quickly, regardless of the languages and technologies used
• You have experience taking ownership and shipping entire features end-to-end
• A strong focus on user experience. You're someone who's passionate about building beautiful, modern UI/UX that people love.

Extremely proactive with the ability to thrive in an unstructured and entrepreneurial environment. We offer extremely flexible working policies and the opportunity to be a part of a rapidly growing startup team. Please get in touch!

• Build, plan and implement the overall digital marketing strategy
• Manage the strategy
• Manage and train the rest of the team
• Stay up to date with the latest technology and best practices
• Manage all digital marketing channels
• Measure ROI and KPIs
• Prepare and manage a digital marketing budget
• Oversee all the company's social media accounts
• Manage and improve online content, considering SEO and Google Analytics
• Build an inbound marketing plan
• Forecast sales performance trends
• Motivate the digital marketing team to achieve goals
• Monitor competition and provide suggestions for improvement

  
  Digital Marketing Executive requirements

  • 2 years of experience as a Digital Marketing Executive
  • 2 years of experience in developing and implementing digital marketing strategies
  • Good knowledge of all different digital marketing channels
  • Good knowledge and experience with online marketing tools and best practices
  • 2years of hands-on experience with SEO/SEM, Google Analytics and CRM software
  • Familiarity with web design
  • Sense of ownership and pride in your performance and its impact on a company’s success
  • Critical thinker and problem-solving skills
  • Team player
  • Good time-management skills
  • Great interpersonal and communication skills
  • Must Have Solar Industries Exerience in Digital Marketing

At JFrog, we’re reinventing DevOps to help the world’s greatest companies innovate -- and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit and just all-around great people. Here, if you’re willing to do more, your career can take off. And since software plays a central role in everyone’s lives, you’ll be part of an important mission. Thousands of customers, including the majority of the Fortune 100, trust JFrog to manage, accelerate, and secure their software delivery from code to production -- a concept we call “liquid software.” Wouldn't it be amazing if you could join us in our journey?

JFrog is searching for an experienced Automation Development Engineer, to boost up our growing QA automation platforms, working on automation and infrastructure development. In this role, you will be developing and maintaining Developers and QA automation platforms, including test execution, bug detection and load testing.  

As a Senior Automation Engineer in JFrog you will... 

• Develop and implement tools for automated testing (Linux Shell, Java/Groovy, Docker, Kubernetes)
• Take essential part in the development cycles, in order to deliver high quality products
• Closely interact with developers and support, regarding customer issues
• Investigate software issues as a result of testing

To be a Senior Automation Engineer in JFrog you need…

• 5+ years experience in automation development in OO language
• Experience with CI/CD tools like Jenkins, Shippable, TravisCI or similar
• Deep understanding in Docker
• Experience in writing automation tests for applications in Linux/Unix environments
• Bug detection abilities and good analysis to root cause detection
• Analytical approach for troubleshooting and problem solving
• Self-learner and independent executor