Data Engineer

📌 Frontend Developer Intern – 3 Months Internship (Unpaid)

Company: [Your Company Name]

Location: Remote / On-site (Specify)

Duration: 3 Months

Stipend: Unpaid

Benefits: Internship Certificate + Letter of Recommendation (Performance-based)

📝 About the Role

We are looking for a motivated Frontend Developer Intern to join our tech team. This role is ideal for students or freshers who want hands-on experience in building responsive, user-friendly web interfaces and improving their coding skills through real-world projects.

🎯 Key Responsibilities

• Develop and maintain user-facing features using HTML, CSS, JavaScript
• Work with frameworks/libraries such as React, Angular, or Vue (based on company stack)
• Convert UI/UX designs into responsive web pages
• Collaborate with backend developers to integrate APIs
• Debug and fix frontend issues
• Optimize applications for performance and speed
• Assist with testing, documentation, and UI improvements
• Stay updated with the latest trends in frontend development

✔ Requirements

• Pursuing or completed a degree in Computer Science, IT, Engineering, or related field
• Strong understanding of HTML5, CSS3, JavaScript
• Familiarity with frontend frameworks (React preferred, but not mandatory)
• Basic understanding of Git/GitHub
• Knowledge of responsive design and web performance
• Good problem-solving skills and willingness to learn
• Ability to work independently and meet deadlines

🎁 What You Will Gain

• Hands-on experience in real-world frontend projects
• Opportunity to work with modern tech stacks
• Guidance from experienced developers
• Internship Certificate upon successful completion
• Letter of Recommendation based on performance
• Strong portfolio pieces for future roles

📩 How to Apply

Send your resume and GitHub/portfolio link to: [Your Email Address]

Subject Line: Frontend Developer Internship Application – Your Name

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💻 A Canva-style JD poster

📱 Short version for Instagram

🏢 A version tailored for your company (Springer Capital)

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Here is a clean, professional Operations Intern Job Description ready to copy and use for job posting:

📌 Operations Intern – 3 Months Internship (Unpaid)

Company: [Your Company Name]

Location: Remote / On-site (Specify)

Duration: 3 Months

Stipend: Unpaid

Benefits: Internship Certificate + Letter of Recommendation (Performance-based)

📝 About the Role

We are looking for a proactive and detail-oriented Operations Intern to support daily business operations, coordination, and process management. This role is perfect for students or fresh graduates who want practical exposure to organizational operations, workflow management, and administrative responsibilities.

🎯 Key Responsibilities

• Assist in day-to-day operational tasks across departments
• Coordinate with internal teams to ensure smooth workflow
• Help maintain project trackers, reports, and documentation
• Support HR/Operations team in onboarding tasks and scheduling
• Manage data entry, filing, and record-keeping activities
• Assist in process improvement initiatives
• Coordinate with vendors, clients, or service providers (if applicable)
• Prepare weekly reports and operational summaries
• Help maintain compliance with internal policies and deadlines

✔ Requirements

• Pursuing or completed a degree in Business Administration, Operations, Management, or related field
• Strong communication and organizational skills
• Proficiency in MS Office/Google Workspace (Excel, Word, Sheets)
• Ability to multitask and handle administrative tasks efficiently
• Attention to detail and good problem-solving ability
• Ability to work independently with minimal supervision
• Eagerness to learn and contribute to team success

🎁 What You Will Gain

• Hands-on experience in business operations and coordination
• Exposure to organizational processes and workflow management
• Opportunity to improve administrative and analytical skills
• Internship Certificate upon completion
• Letter of Recommendation based on performance

Job Opportunity: Senior Financial Analyst

Company Overview:

Gallagher & Mohan is a distinguished firm specializing in delivering world-class financial analysis, marketing expertise, and accounting support tailored to the real estate sector. We serve an exclusive clientele of private equity investors, developers, fund managers, brokers, and other industry leaders. Renowned for our commitment to excellence, clear communication, and strong work ethic, we seamlessly integrate with our clients’ teams to create long-term value. Our portfolio spans diverse real estate transactions—from multifamily apartment communities to large-scale office towers across the United States and European markets, with deal sizes typically ranging from $25 million to over $500 million USD.

Role Overview:

As a Senior Financial Analyst at Gallagher & Mohan, you will play a pivotal role in driving insightful financial analysis and modeling. Utilizing your expertise in Microsoft Excel and adept modeling capabilities, you will craft comprehensive models from scratch and enhance existing client frameworks. Your responsibilities will extend to meticulous tracking and analysis of commercial real estate markets, preparing detailed reports on market trends and economic indicators, and serving as a trusted advisor with a profound understanding of macro and micro factors influencing the industry.

Roles & Responsibilities:

• Argus Enterprise Mastery: Utilize Argus Enterprise extensively to develop, maintain, and enhance comprehensive financial models for real estate assets. Ensure accuracy and efficiency in cash-flow projections and asset valuations.
• DCF Modeling: Construct and refine Discounted Cash Flow (DCF) models to evaluate investment opportunities, asset performance, and future cash flows. Provide in-depth analysis and interpretation of model outputs.
• Model Optimization: Optimize and update Argus models to reflect changing market conditions, investment strategies, and financial structures. Ensure models are aligned with current financial practices and industry standards.
• Market Analysis: Conduct detailed market research and analysis to support Argus , Multi family assets and DCF modeling, including assessing property comparables and evaluating market trends.
• Reporting & Insights: Prepare and present detailed financial reports and insights based on Argus and DCF analyses. Communicate findings and strategic recommendations to senior management and clients.
• Collaboration: Work closely with internal teams during acquisitions, dispositions, and development projects, providing specialized Argus and DCF analysis to support strategic decision-making.
• Performance Evaluation: Assess and report on the performance of investments using key performance indicators (KPIs) such as IRR and Cash-on-Cash returns, integrating these metrics into Argus and DCF models.

What We Are Looking For:

Requirements – Skills, Knowledge, and Abilities:

• Educational Background: Bachelor’s degree in Real Estate, Business, Economics, Finance, or a related field.
• Argus Expertise: Extensive experience with Argus Enterprise software, including developing and managing detailed financial models for real estate assets.
• DCF Proficiency: Strong proficiency in Discounted Cash Flow (DCF) modeling, with the ability to create and analyze complex financial models and scenarios.
• Experience: 4-7 years of experience in financial modeling with a focus on Argus and DCF methodologies and Multi family assets . Background in equity research, investment banking, or real estate finance is advantageous.
• Analytical Skills: Exceptional analytical and problem-solving skills, with a focus on deriving actionable insights from Argus and DCF analyses.
• Communication: Strong written and verbal communication skills, with the ability to present complex financial concepts and findings effectively to diverse stakeholders.
• Organization: Excellent organizational skills, with the ability to manage multiple tasks and priorities in a fast-paced environment.
• Team Collaboration: Proven ability to work effectively with cross-functional teams and contribute to a collaborative team environment.

Desired Qualifications:

• Software Proficiency: Advanced skills in Microsoft Office Suite, especially Excel, for financial modeling and analysis.
• Advanced Degree: Master’s degree in finance, Business, Real Estate, or Economics is preferred.
• Certifications: Candidates who have completed or are working towards CFA, CA, or FRM certifications will be considered favorably.
• Additional Software Knowledge: Familiarity with other real estate software/programs, such as Yardi Voyager and Google Earth, will be a plus.

Job Details:

• Title: Senior Financial Analyst
• Department: Financial Analysis
• Employment Type: Full-Time, Permanent
• Location: Remote (New Delhi)
• Shift Timings: EST/PST (US Time Zone)

Note: Immediate availability is required (within a week).

Join Gallagher & Mohan, where your leadership abilities and financial expertise will play a crucial role in shaping the success of our team and driving impactful insights in the real estate industry. Apply now to embark on a rewarding career journey with a leading industry player.

We’re looking for a Product Ninja with the mindset of a Tech Catalyst — a proactive executor who thrives at the intersection of product, technology, and user experience. In this role, you’ll bring product ideas to life, translate strategy into action, and collaborate closely with engineers, designers, and stakeholders to deliver impactful solutions.

This role is ideal for someone who’s hands-on, detail-oriented, and passionate about using technology to create real customer value.

Responsibilities:

• Support the definition and execution of the product roadmap in alignment with business goals.
• Work closely with engineering, design, QA, and marketing teams to drive product development.
• Translate product requirements into detailed specs, user stories, and acceptance criteria.
• Conduct competitive research and analyze user feedback to inform feature enhancements.
• Track product performance post-launch and gather insights for continuous improvement.
• Assist in managing the full product lifecycle, from ideation to rollout.
• Be a tech-savvy contributor, suggesting improvements based on emerging tools, platforms, and technologies.

Qualification:

• Bachelor’s degree in Business, Marketing, Computer Science, or a related field.
• 3+ years of hands-on experience in product management, product operations, or related roles.
• Comfortable working in fast-paced, cross-functional tech environments.

Required Skills:

• Strong analytical and problem-solving abilities.
• Clear, concise communication and documentation skills.
• Proficiency with project and product management tools (e.g., JIRA, Trello, Confluence).
• Ability to manage details without losing sight of the bigger picture.

Preferred Skills:

• Experience with Agile or Scrum workflows.
• Familiarity with UX/UI best practices and working with design systems.
• Exposure to APIs, databases, or cloud-based platforms is a plus.
• Comfortable with basic data analysis and tools like Excel, SQL, or analytics dashboards.

Who You Are:

• A doer who turns ideas into working solutions.
• A collaborator who thrives in tech teams and enjoys building alongside others.
• A catalyst who nudges things forward with curiosity, speed, and smart experimentation.

Job Responsibilities

• Design, build & test ETL processes using Python & SQL for the corporate data warehouse
• Inform, influence, support, and execute our product decisions
• Maintain advertising data integrity by working closely with R&D to organize and store data in a format that provides accurate data and allows the business to quickly identify issues.
• Evaluate and prototype new technologies in the area of data processing
• Think quickly, communicate clearly and work collaboratively with product, data, engineering, QA and operations teams
• High energy level, strong team player and good work ethic
• Data analysis, understanding of business requirements and translation into logical pipelines & processes
• Identification, analysis & resolution of production & development bugs
• Support the release process including completing & reviewing documentation
• Configure data mappings & transformations to orchestrate data integration & validation
• Provide subject matter expertise
• Document solutions, tools & processes
• Create & support test plans with hands-on testing
• Peer reviews of work developed by other data engineers within the team
• Establish good working relationships & communication channels with relevant departments

Skills and Qualifications we look for

• University degree 2.1 or higher (or equivalent) in a relevant subject. Master’s degree in any data subject will be a strong advantage.
• 4 - 6 years experience with data engineering.
• Strong coding ability and software development experience in Python.
• Strong hands-on experience with SQL and Data Processing.
• Google cloud platform (Cloud composer, Dataflow, Cloud function, Bigquery, Cloud storage, dataproc)
• Good working experience in any one of the ETL tools (Airflow would be preferable).
• Should possess strong analytical and problem solving skills.
• Good to have skills - Apache pyspark, CircleCI, Terraform
• Motivated, self-directed, able to work with ambiguity and interested in emerging technologies, agile and collaborative processes.
• Understanding & experience of agile / scrum delivery methodology

The ideal candidate will be responsible for designing, developing, testing, and debugging responsive web applications for the company. Using Angular / React / JavaScript this candidate will be able to translate user and business needs into functional frontend design.

Responsibilities

• We use React for web application.
• Designing, developing, and testing UI for mobile and web applications
• Build reusable code and libraries for future use
• Accurately translate user and business needs into functional frontend code

Qualifications

• 3+ years' experience in frontend development
• Experience building mobile/web applications using Angular or React or JavaScript.

Role – Devops

Experience 3 – 6 Years

Roles & Responsibilities –

• 3-6 years of experience in deploying and managing highly scalable fault resilient systems
• Strong experience in container orchestration and server automation tools such as Kubernetes, Google Container Engine, Docker Swarm, Ansible, Terraform  

• Strong experience with Linux-based infrastructures, Linux/Unix administration, AWS, Google Cloud, Azure

• Strong experience with databases such as  MySQL, Hadoop, Elasticsearch, Redis, Cassandra, and MongoDB.

• Knowledge of scripting languages such as Java, JavaScript, Python, PHP, Groovy, Bash.

• Experience in configuring CI/CD pipelines using Jenkins, GitLab CI, Travis.
• Proficient in technologies such as Docker, Kafka, Raft and Vagrant

• Experience in implementing queueing services such as RabbitMQ, Beanstalkd, Amazon SQS and knowledge in ElasticStack is a plus.

Job Responsibilities:

• Apply your knowledge of ML and statistics to conceptualise, experiment, develop & deploy machine learning & deep learning systems.
• Understanding the business objectives & defining the right target metrics to track performance & progress.
• Defining & building datasets with the appropriate representation techniques for learning.
• Training & tuning models. Running evaluation & test experiments on the models.
• Build ML pipelines end to end. (Everything MLOps.)
• Building pipelines for the various stages.
• Deploying models.
• Troubleshooting issues with models in production.
• Reporting results of model performance in production.
• Retraining, performance logging & maintenance.
• Help the business with insights for better decision-making. You will build many predictive models for internal business operations
  you will derive insights from the trained models & data to help the product & business teams make better decisions.

Requirements:

• 2+ years of work experience as an ML engineer or Data Scientist with a Bachelors Degree in Computer science or related field
• Theoretical & practical knowledge of Machine Learning, Deep Learning and Statistical methods. (NLP Tasks, Recommender Systems, Predictive Modelling etc)
• Since Pepper is a content company, you will work on many interesting text based problems. Solid understanding of Natural Language Processing techniques with Deep Learning is a must for this role.
• Familiarity with the popular NLP applications and text representation architectures & techniques: text classification, machine translation, named entity recognition, summarisation, question answering, zero-shot learning etc.  Bag of Words, TF-IDF, Word2vec, GloVe, BERT, ELMo, GPT etc.
• Experience with ML frameworks (like Tensorflow, Keras, PyTorch) & libraries like Sklearn.
• Experience with ML infrastructure & shipping models.
• Excellent programming & algorithmic skills. Good understanding of Data Structures and algorithms (fluent in at least one object oriented programming language). Proficiency in Python is a must.
• Strong understanding of database systems & schema design. Proficient in SQL

Please let us know if you are interested in the above opening and if interested please let us know your

Current CTC :

Expected CTC :

Notice Period :

Relevant experience in  Machine Learning :

Relevant experience in Deep Learning:

Relevant experience in NLP Applications:

Regards

Ashwini