Business Development Associate

Must Have Skills:

• Overall 10+ years of experience in application development using Golang.
• Experience in designing and developing REST based services / Microservice development.
• Ability to design scalable, robust, and error-tolerant systems.
• Understanding of software architecture and distributed systems.
• Proficient in writing efficient and optimized algorithms under time constraints.
• Skilled in developing solutions that balance performance, readability, and maintainability.
• Ability to effectively communicate coding decisions and rationale during problem-solving discussions.
• Hands-on experience with queuing mechanisms such as Kafka or RabbitMQ.
• Candidates should be adaptable and eager to quickly learn and integrate into the existing tech stack if they lack direct experience.
• Candidate should have good communication skills (written and verbal).
• Experience with delivering projects in an agile environment using SCRUM methodologies.

Good to have:

• Experience to AWS, CI/CD, DevOps.
• Experience using container management tools such as Kubernetes, Docker and Rancher.
• Any one of these data store Cassandra, Postgres, Couchbase, or other NoSQL servers.

Job Title: Data Engineer

Location City: Gurugram

Industry: Research and Advisory Services

Role Overview

We are looking for a Senior Data Engineer (7–10 years) to play a foundational role in building Everest Group’s greenfield, Snowflake-based enterprise data platform.

This role is hands-on and ownership-driven, with a strong focus on:

Ingesting data from enterprise SaaS platforms Building scalable Snowflake ELT pipelines

Designing analytics-ready data models Owning the initial Snowflake platform foundations in collaboration with architecture leadership The ideal candidate has deep experience integrating CRM and marketing systems via APIs, is comfortable operating production- grade data pipelines, and can make sound decisions around performance, cost, and reliability.

Key Responsibilities

Robust Data Ingestion Pipelines From Enterprise SaaS Platforms, Including

 Salesforce (CRM)

 NetSuite (Finance)

 Marketing and RevOps tools such as Marketo, 6sense, Gong

 SharePoint (files, metadata, permissions)

Develop API-based Ingestion Frameworks Handling

 Authentication and authorization

 Pagination, rate limits, retries, and failures

 Incremental loads, soft deletes, and historical tracking

 Schema evolution and upstream source changes

ELT pipelines within Snowflake Write high-quality, optimized SQL for complex

transformations Build and manage data layers including raw, staged, and curated datasets

Optimize Snowflake warehouses, storage, and query performance with a strong focus on cost efficiency

Models Including

 Fact and dimension tables

 Star and snowflake schemas

 Slowly Changing Dimensions (SCD Type 1 and Type 2) Ensure data models support reporting, dashboards, and research analytics Partner with analytics and research teams to deliver analytics-ready, well documented datasets reliability including scheduling, monitoring, alerting, and recovery Implement data quality checks for accuracy, completeness, and freshness

 Support Snowflake Platform Foundations Including

 Warehouse and environment strategy (dev/test/prod)

 Role-based access control (RBAC) Secure handling of sensitive HR and finance data (PII) Troubleshoot and resolve data issues across ingestion, transformation, and consumption layers research, product, and technology stakeholders to translate business needs into data solutions Contribute to data platform architecture discussions and continuous improvement initiatives

Maintain clear documentation for pipelines, data models, and data flows

Follow modern engineering practices including Git-based version control and CI/CD workflows

Education And Experience

Bachelor’s or master’s degree in computer science, Information Technology, Engineering, Mathematics, or related field.

7–10 years of hands-on experience in data engineering or similar roles

Strong hands-on expertise with Snowflake, including ingestion, transformations, and performance optimization

Proven experience ingesting data from SaaS platforms via APIs (HR, CRM, or Marketing systems)

Advanced SQL skills and strong understanding of relational databases and data modeling

Strong Python experience for API integration, data ingestion, and automation Experience with cloud platforms (Azure preferred; AWS/GCP acceptable)

Experience with orchestration or transformation tools such as dbt, Azure Data Factory, or similar

Strong problem-solving skills, ownership mindset, and attention to detail

Strong Product Designer, with focus on B2C Products

Mandatory (Experience 1): Must have 5+ YOE in Product Design (both UI and UX) with atleast 2 year in B2C companies

Mandatory (Experience 2): Must have atleast 1 year experience building or working with highly scaled Design systems in a B2C company (non-negotiable)

Mandatory (Skills): Must have strong knowledge and experience of design with Ai tools(Figma Cloud, Chatgpt)

Mandatory (Portfolio): Must have strong product design portfolio of Good B2C Products, with at least 2 detailed case studies

Mandatory (Company): B2C Product companies, B2B experience with prior exposure to B2C is also acceptable (High scaled company, mostly unicorns)

Mandatory (Stability): Must have stayed for a minimum of 2 years with each of the previous companies

Mandatory (Note 1): CV must have portfolio link with at least 2 detailed case study

Mandatory (Note 2): This will be a complete IC role

Mandatory (Note 3): CTC is inclusive of 5%variable

Preferred

Preferred (Education): Graduate from Tier-1 colleges (IIT, NID, NIFT, BITS etc)

Preferred (Skills 1): Experience in subscription-based or marketplace products, CRO, and international market localization

Preferred (Skills 2): Exposure to AI-powered personalization and recommendation systems

Preferred Companies

Glance, Ola, Nykaa, Tata Cliq, Pepperfry, Bookmyshow, Pharmeasy, Purplle.com, Ketto, Dream11, Coindcx, Upstox, Zomato, PhonePe, Swiggy, Myntra, Razorpay, Flipkart

Key Responsibilities : 

Design and Development : Develop robust and scalable robotic applications 

using ROS2. Implement software for various robotic systems, ensuring high 

performance and reliability. 

Hand-on with developing ROS2 nodes, Services/Clients, Publishers/Subscriber. 

Lead and develop path/motion planning algorithms that include route planning, 

trajectory optimization, decision making, and open space planning. Good 

understandings of Robot dynamics, kinematics and modeling. 

System Integration : Integrate sensors, actuators, and other hardware 

components with robotic systems. Ensure seamless communication between 

hardware and software layers. Experienced on integration with perception 

sensors such as IMU, GPS, Stereo Cameras, Lidar, Radar, and various other 

sensors. 

URDF Modeling : Create and maintain accurate URDF models for robotic 

systems. Ensure models accurately represent the physical configuration and 

kinematics of the robots. 

Algorithm Implementation : Implement and optimize algorithms for perception, 

localization, mapping, navigation, and control. 

• New features developed independently with the ability to document the design after understanding and evaluating the requirements with necessary groundwork on required application components
• Hands-on coding to implement the design for feature completion
• Able to write unit tests that ensures bug free code
• Able to handle the multi-tenant and performance requirements of the new features and applications.
• Integrate the new features with existing modules, deliver ready to use code meeting necessary build requirements and CI/CD requirements.
• Work with other functional groups for product, technology, QA, tech support and deployment team.

‍

The ideal candidate must have the following qualifications.

• BE/B.Tech Degree from a reputed institution with at least 7 years of relevant experience
• Hands-on experience with Core Java, J2EE with a good knowledge of its ecosystem
• Experience with JUnit, JMH like performance tuning test tools preferred
• REST API design and development experience. Usage of Swagger or other API spec tools would be preferred. Working knowledge on Spring Boot is a plus
• Hands-on experience with some of the following application components is a plus: Solr, Kafka, OpenTSDB, Elasticsearch, Janus graph or any graph DB.
• Experience with databases such as MongoDB, MySQL or PostgreSQL required.
• Familiarity with continuous integration and build tools such as Jenkins or CircleCI, Maven, Ant required
• Experience building applications using microservices architecture is highly preferred. Knowledge of Kubernetes, Docker would be ideal
• Working knowledge on public clouds like AWS or Google cloud or Azure is a plus
• Experience building scalable systems
• Strong problem solving skills and ability and interest to solve complex problems
• Interest in machine learning (ML) data science is a plus

Mobile Developer (Xamarin)
To assist us in building out our next generation of mobile apps using Xamarin, we’re looking for a well-rounded Mobile developer. A primary job responsibility will be to assist in developing and maintaining new features for the Xamarin application. The right person for this job will understand the agile methodology as well as thrive in a fast-paced environment.

Required Skills:

• 2+ years experience developing software using Xamarin.
•  Xamarin Form based UI development using XAML
• Strong desire to learn
• Basic understanding of design patterns
• Comfortable working with Subversion, Git, or similar source control environments
• Must be willing to do Test Driven Development.
• Strong communication skills, must embrace working in a highly-collaborative environment

Preferred Skills:

• Good understanding of web-service technologies, Restful APIs
• Some exposure to a version control system such as Git or Subversion
• Proven understanding of software development techniques, concepts and processes
• Driven and self-motivated.
• Works creatively to solve challenging problems

Responsibilities

• Assist in the design, implementation, and maintenance of features for our cross platform applications.
• Provide technical support and troubleshooting that are beyond capabilities of help desk or customer service
• Analyze and fix QA and production problems
• Ensure proper functioning of applications in a production environment
• Work collaboratively with designers, product managers and QA in meeting tight deadlines utilizing SCRUM in an agile environment.
• Unit-test code for robustness, including edge cases, usability, and general reliability.
• Defines and documents requirements for data, workflow, logical processes, and interfaces with other systems.
• Other tasks and projects as assigned by management.

Position: Big Data Engineer

What You'll Do

Punchh is seeking to hire Big Data Engineer at either a senior or tech lead level. Reporting to the Director of Big Data, he/she will play a critical role in leading Punchh’s big data innovations. By leveraging prior industrial experience in big data, he/she will help create cutting-edge data and analytics products for Punchh’s business partners.

This role requires close collaborations with data, engineering, and product organizations. His/her job functions include

• Work with large data sets and implement sophisticated data pipelines with both structured and structured data.
• Collaborate with stakeholders to design scalable solutions.
• Manage and optimize our internal data pipeline that supports marketing, customer success and data science to name a few.
• A technical leader of Punchh’s big data platform that supports AI and BI products.
• Work with infra and operations team to monitor and optimize existing infrastructure 
• Occasional business travels are required.

What You'll Need

• 5+ years of experience as a Big Data engineering professional, developing scalable big data solutions.
• Advanced degree in computer science, engineering or other related fields.
• Demonstrated strength in data modeling, data warehousing and SQL.
• Extensive knowledge with cloud technologies, e.g. AWS and Azure.
• Excellent software engineering background. High familiarity with software development life cycle. Familiarity with GitHub/Airflow.
• Advanced knowledge of big data technologies, such as programming language (Python, Java), relational (Postgres, mysql), NoSQL (Mongodb), Hadoop (EMR) and streaming (Kafka, Spark).
• Strong problem solving skills with demonstrated rigor in building and maintaining a complex data pipeline.
• Exceptional communication skills and ability to articulate a complex concept with thoughtful, actionable recommendations.