VP of Aggregation - India

Position Overview: We are looking for an experienced and highly skilled Senior Data Engineer to join our team and help design, implement, and optimize data systems that support high-end analytical solutions for our clients. As a customer-centric Data Engineer, you will work closely with clients to understand their business needs and translate them into robust, scalable, and efficient technical solutions. You will be responsible for end-to-end data modelling, integration workflows, and data transformation processes while ensuring security, privacy, and compliance.In this role, you will also leverage the latest advancements in artificial intelligence, machine learning, and large language models (LLMs) to deliver high-impact solutions that drive business success. The ideal candidate will have a deep understanding of data infrastructure, optimization techniques, and cost-effective data management

Key Responsibilities:

• Customer Collaboration:

– Partner with clients to gather and understand their business

requirements, translating them into actionable technical specifications.

– Act as the primary technical consultant to guide clients through data challenges and deliver tailored solutions that drive value.

•Data Modeling & Integration:

– Design and implement scalable, efficient, and optimized data models to support business operations and analytical needs.

– Develop and maintain data integration workflows to seamlessly extract, transform, and load (ETL) data from various sources into data repositories.

– Ensure smooth integration between multiple data sources and platforms, including cloud and on-premise systems

• Data Processing & Optimization:

– Develop, optimize, and manage data processing pipelines to enable real-time and batch data processing at scale.

– Continuously evaluate and improve data processing performance, optimizing for throughput while minimizing infrastructure costs.

• Data Governance & Security:

–Implement and enforce data governance policies and best practices, ensuring data security, privacy, and compliance with relevant industry regulations (e.g., GDPR, HIPAA).

–Collaborate with security teams to safeguard sensitive data and maintain privacy controls across data environments.

• Cross-Functional Collaboration:

– Work closely with data engineers, data scientists, and business

analysts to ensure that the data architecture aligns with organizational objectives and delivers actionable insights.

– Foster collaboration across teams to streamline data workflows and optimize solution delivery.

• Leveraging Advanced Technologies:

– Utilize AI, machine learning models, and large language models (LLMs) to automate processes, accelerate delivery, and provide

smart, data-driven solutions to business challenges.

– Identify opportunities to apply cutting-edge technologies to improve the efficiency, speed, and quality of data processing and analytics.

• Cost Optimization:

–Proactively manage infrastructure and cloud resources to optimize throughput while minimizing operational costs.

–Make data-driven recommendations to reduce infrastructure overhead and increase efficiency without sacrificing performance.

Qualifications:

• Experience:

– Proven experience (5+ years) as a Data Engineer or similar role, designing and implementing data solutions at scale.

– Strong expertise in data modelling, data integration (ETL), and data transformation processes.

– Experience with cloud platforms (AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark).

• Technical Skills:

– Advanced proficiency in SQL, data modelling tools (e.g., Erwin,PowerDesigner), and data integration frameworks (e.g., Apache

NiFi, Talend).

– Strong understanding of data security protocols, privacy regulations, and compliance requirements.

– Experience with data storage solutions (e.g., data lakes, data warehouses, NoSQL, relational databases).

• AI & Machine Learning Exposure:

– Familiarity with leveraging AI and machine learning technologies (e.g., TensorFlow, PyTorch, scikit-learn) to optimize data processing and analytical tasks.

–Ability to apply advanced algorithms and automation techniques to improve business processes.

• Soft Skills:

– Excellent communication skills to collaborate with clients, stakeholders, and cross-functional teams.

– Strong problem-solving ability with a customer-centric approach to solution design.

– Ability to translate complex technical concepts into clear, understandable terms for non-technical audiences.

• Education:

– Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field (or equivalent practical experience).

LIFE AT FOUNTANE:

• Fountane offers an environment where all members are supported, challenged, recognized & given opportunities to grow to their fullest potential.
• Competitive pay
• Health insurance for spouses, kids, and parents.
• PF/ESI or equivalent
• Individual/team bonuses
• Employee stock ownership plan
• Fun/challenging variety of projects/industries
• Flexible workplace policy - remote/physical
• Flat organization - no micromanagement
• Individual contribution - set your deadlines
• Above all - culture that helps you grow exponentially!

A LITTLE BIT ABOUT THE COMPANY:

Established in 2017, Fountane Inc is a Ventures Lab incubating and investing in new competitive technology businesses from scratch. Thus far, we’ve created half a dozen multi-million valuation companies in the US and a handful of sister ventures for large corporations, including Target, US Ventures, and Imprint Engine.

We’re a team of 120+ strong from around the world that are radically open-minded and believes in excellence, respecting one another, and pushing our boundaries to the furthest it's ever been.

Solution Oriented Mindset

• Assist project in all technical aspects of tooling and DevOps
• Proactively lead tools new versions release cycle and documentation
• Proactively identify risks related to application /deliverables and propose a mitigation plan
• Provide custom solutions as per customer requirements

Autonomy & Problem Solving Mindset

• Work in complete autonomy to deliver project deliverables, for advanced technical deliverables, with required level of quality
• Must have troubleshooting skills

Agile Mindset

• Contribute to improvement of internal process, tooling, and quality process
• Design, build and collect technical materials as part of project executions in a spirit of reusability for future engagements and maintain knowledge on best practices, tools, and reusable components for CAST analysis

At least 4 years' experience as a Node.js developer.

Experience in Microservices

Extensive knowledge of JavaScript, web stacks, libraries, and frameworks.

Mandatory experience in Postgres and MySql.

Knowledge of front-end technologies such as HTML5 and CSS3.

Superb interpersonal, communication, and collaboration skills.

Exceptional analytical and problem-solving aptitude.

We are looking for a Full Stack Engineer for a client of ours, that is headquartered in USA and is operating in the field of health tech space, offering an innovative solution for dominate health issues. The company is well funded and backed by investors like Sequoia Capital.

They are looking for people who are interested to join their company and help them make an impact on their product development and growth.

In this role you will be part of the Product Engineering Team, and will be responsible for working with cross functional teams.

Experience Required

5+ years experience, having worked on both frontend and backend development - hands on development experience from front end, middle tier and back end.

3+ years of experience building Restful web service using node.js

3+ years of experience for writing batch/cron jobs using Python and shell scripting

3+ years of experience in web application development using javascript and ReactJs

Have understanding of javascript, Typescript, HTML, CSS, JSON, Rest based applications

Experience in database techs - mongodb, mysql, redis, elastic search

Experience of building applications deployed on the cloud using AWS, Docker and kubernetes

Good to have : - understanding of code versioning tools like Git

Experience or understanding of JS based build tools like Grunt, Gulp, Bower, Webpack and NPM

Good communication, willingness to work in a diverse team, and a fast paced environment would be a requirement to be successful in this role.

Education Experience

Degree in Computer science would be preferred / equivalent professional experience in product companies.

Job Description:

• 5+ years of development experience
• Expertise in IBM MDM version 11.x (Advanced Edition) product, hands-on multiple implementation experience.
• Hands on experience with IBM MDM Customization using features which includes Extension, Addition, Business proxies, SDP, Match-Merge Rules, Event Manager, Notification
• Exposure to MDM Information Domains (Party, Agreement, Location)
• Expert Java, JEE development background with RSA/ RAD, Websphere, MDM Workbench, SOAP Web Services, XML, XSD, WSDL
• Intermediate knowledge of SQL, Joins, Triggers(DB2/Oracle)
• Working knowledge of concepts like Service Oriented Architecture (SOA) and how to use these with different types of integration technologies

Primary Skills

• Expertise in IBM MDM version 11.x
• Hands-on multiple implementation experience.
• Customization using features
• Expert Java, JEE development background
• Intermediate knowledge of SQL

Secondary Skills

• Working knowledge of concepts like Service Oriented Architecture (SOA) and how to use these with different types of integration technologies
• Ability to work both independently and as part of a team

• KSQL
• Data Engineering spectrum (Java/Spark)
• Spark Scala / Kafka Streaming
• Confluent Kafka components
• Basic understanding of Hadoop

Skills:

Full Stack Developer

Developed Gaming Application

Developed 3D Gaming Application

Basic knowledge of C, C++, MySQL, Mongo db

The ideal candidate will have experience in all stages of the Inside sales cycle. They have to know that how to generate the IT leads through Online Bidding from social media platforms. They should be confident with building new client relationships and maintaining existing ones. They should have evidence of strong skills and possess good negotiation skills.

Responsibilities:
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Job Description :

1. A cloud engineer is responsible for the design, review of architectures & construction of cloud service provider environments.
2. Duties, and Responsibilities may include the following:
3. §  Responsible for the evaluation of cloud strategy and program architecture
4. §  Responsible for gathering system requirements working together with application architects and owners
5. §  Responsible for generating scripts and templates required for the automatic provisioning of resources
6. §  Discover standard cloud services offerings, install, and execute processes and standards for optimal use of cloud service provider offerings
7. §  Build software for the organization’s systems and ES as a service offering
8. §  Stay well-informed of failures and complications related to a cloud offering
9. §  Responsible for debugging technical issues inside a complex stack involving virtualization, containers, microservices, etc.
10. §  Collaborate with the engineering teams to enable their applications to run on Cloud infrastructure.
11. §  Experience with OpenStack, Linux, Amazon Web Services, Microsoft Azure, DevOps, NoSQL etc.

A qualified applicant must possess a thorough knowledge of at least some of the following:

Education

• Bachelor of Science degree in Computer Science, or Engineering, or in other related technical field. In addition to educational qualification, they should possess at least 3-5years IT experience with cloud operations and systems administration

Knowledge Needed-

• A cloud engineer must have adept technical skills and cognate experience to be hired. 
• Practical object-oriented development knowledge with at least Scala or Java, knowledge of systems like ZooKeeper, Consul etc., familiarity with containerization technologies such as Docker and Pivotal Cloud Foundry Docker, OpenStack, and Public cloud delivery know-how with AWS and/or Azure
• understanding of software development, engineering, programming languages and tools; Java, Python, Ruby, .NET/C#, HTML, CSS, JavaScript, PowerShell, CI/CD pipelines, and ability to work with Agile methodologies (Scrum, Kanban, Lean Startup, XP)
• Part of the daily tasks of a Cloud Engineer is to work with cross-functional teams (Product Owners, Scrum Masters, Developers, Designers, and Business Analysts), so it is vital that they can work in a team-driven environment
• Cloud technologies become advanced over time, so an essential ingredient that most recruiters look out for in cloud engineers is their willingness to learn and work with new and emerging technologies.

  Certification

• Microsoft Azure – 70-533, 70-535 any other infrastructure certification is added advantage.
• Should have relevant cloud certifications such as Microsoft Certified Azure Solutions Architect is added advantage