Data Engineer (Snowflake + Airflow)

Job Title : React.js Developer

Experience : 3+ Years

Location : Gurgaon (Work From Office – 5 Days a Week)

Employment Type : Full-time

Job Summary :

We are looking for a highly skilled and passionate React.js Developer with 3+ Years of hands-on experience to join our growing team in Gurgaon.

The ideal candidate should have strong expertise in building modern, responsive, and high-performance web applications using React.js and related technologies.

Key Responsibilities :

• Develop, test, and maintain responsive web applications using React.js.
• Translate UI/UX designs into high-quality code.
• Build reusable components and front-end libraries for future use.
• Optimize applications for maximum speed and scalability.
• Collaborate with backend developers, designers, and other team members to deliver high-quality products.
• Participate in code reviews and follow best practices for clean and efficient code.
• Troubleshoot and debug application issues.

Required Skills & Qualifications :

• Minimum 3 years of hands-on experience in React.js.
• Strong proficiency in JavaScript (ES6+), HTML5, CSS3.
• Experience with state management libraries such as Redux, Context API.
• Familiarity with RESTful APIs and modern front-end build pipelines and tools (Webpack, Babel, etc.).
• Good understanding of Git and version control workflows.
• Experience with responsive design and cross-browser compatibility.
• Ability to work independently and collaboratively in a fast-paced environment

Nice to Have:

• Knowledge of TypeScript.
• Experience with Next.js or any SSR frameworks.
• Exposure to Agile/Scrum methodologies.

Perks & Benefits :

• Competitive salary
• Friendly and collaborative work environment
• Opportunity to work on exciting and cutting-edge projects

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.

Data Engineering : Senior Engineer / Manager

As Senior Engineer/ Manager in Data Engineering, you will translate client requirements into technical design, and implement components for a data engineering solutions. Utilize a deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution.

Must Have skills :

1. GCP

2. Spark streaming : Live data streaming experience is desired.

3. Any 1 coding language: Java/Pyhton /Scala

Skills & Experience :

- Overall experience of MINIMUM 5+ years with Minimum 4 years of relevant experience in Big Data technologies

- Hands-on experience with the Hadoop stack - HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline. Working knowledge on real-time data pipelines is added advantage.

- Strong experience in at least of the programming language Java, Scala, Python. Java preferable

- Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc.

- Well-versed and working knowledge with data platform related services on GCP

- Bachelor's degree and year of work experience of 6 to 12 years or any combination of education, training and/or experience that demonstrates the ability to perform the duties of the position

Your Impact :

- Data Ingestion, Integration and Transformation

- Data Storage and Computation Frameworks, Performance Optimizations

- Analytics & Visualizations

- Infrastructure & Cloud Computing

- Data Management Platforms

- Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time

- Build functionality for data analytics, search and aggregation

Job description

Roles and Responsibilities

• Must have experience in generating leads for IT services like Mobile App, Software Development, Web Application ( For International Market )
• Lead generation of new leads for regular sales cycles for IT Industry.
• Good Knowledge of lead generation and market research through Linkedin and Email.
• Who can build the tie-ups with the IT companies from USA,UK and Europe.
• Develop and maintain relationships with key stakeholders to ensure that all lead sources are properly identified, tracked and optimized in order to maximize revenue.
• Oversee client relationship management through direct contact and other channels as needed.
• Provide support on marketing initiatives.
• Work closely with sales managers/representatives to develop strategies to drive conversion rates across multiple channels.

Desired Candidate Profile

• Bachelor's degree in business, marketing or related field
• Minimum of 5 years of experience as a lead generation specialist with an emphasis on lead generation and/or sales automation
• Experience working within the marketing industry is preferred
• Must have strong communication skills
• Strong analytical abilities

Office Timing : 12 PM to 9 PM

Regards

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Author data services using a variety of programming languages
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centres and Azure regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Work in an Agile environment with Scrum teams.
• Ensure data quality and help in achieving data governance.

• 2+ years of experience in a Data Engineer role
• Undergraduate degree required (Graduate degree preferred) in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
• Experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases
• Experience with data pipeline and workflow management tools
• Experience with Azure cloud services: ADLS, ADF, ADLA, AAS
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Understanding of ELT and ETL patterns and when to use each. Understanding of data models and transforming data into the models
• Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets
• Strong analytic skills related to working with unstructured datasets
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
• Experience supporting and working with cross-functional teams in a dynamic environment