Data Engineer (Snowflake)

Job Title: Full-Stack developer

Experience: 5 to 8+ Years

ASAP Start Immediately

Key Responsibilities

Develop and maintain end-to-end web applications, including frontend interfaces and backend services.

Build responsive and scalable UIs using React.js and Next.js.

Design and implement robust backend APIs using Python, FastAPI, Django, or Node.js.

Work with cloud platforms such as Azure (preferred) or AWS for application deployment and scaling.

Manage DevOps tasks, including containerization with Docker, orchestration with Kubernetes, and infrastructure as code with Terraform.

Set up and maintain CI/CD pipelines using tools like GitHub Actions or Azure DevOps.

Design and optimize database schemas using PostgreSQL, MongoDB, and Redis.

Collaborate with cross-functional teams in an agile environment to deliver high-quality features on time.

Troubleshoot, debug, and improve application performance and security.

Take full ownership of assigned modules/features and contribute to technical planning and architecture discussions.

Must-Have Qualifications

Strong hands-on experience with Python and at least one backend framework such as FastAPI, Django, or Flask, Node.js .

Proficiency in frontend development using React.js and Next.js

Experience in building and consuming RESTful APIs

Solid understanding of database design and queries using PostgreSQL, MongoDB, and Redis

Practical experience with cloud platforms, preferably Azure, or AWS

Familiarity with containerization and orchestration tools like Docker and Kubernetes

Working knowledge of Infrastructure as Code (IaC) using Terraform

Experience with CI/CD pipelines using GitHub Actions or Azure DevOps

Ability to work in an agile development environment with cross-functional teams

Strong problem-solving, debugging, and communication skills

Start-up experience preferred – ability to manage ambiguity, rapid iterations, and hands-on leadership.

Technical Stack

Frontend: React.js, Next.js

Backend: Python, FastAPI, Django, Spring Boot, Node.js

DevOps & Cloud: Azure (preferred), AWS, Docker, Kubernetes, Terraform

CI/CD: GitHub Actions, Azure DevOps

Databases: PostgreSQL, MongoDB, Redis

Responsibilities:

• Help build model monitoring systems across model types like regression, classification with structured & unstructured datasets.
• Build high-performance multi-tenant deployment architecture that works across frameworks like PyTorch, sklearn, TensorFlow.
• Help realize the product vision: Production-ready machine learning models with monitoring within moments, not months.
• Help companies deploy their machine learning models at scale across a wide range of use-cases and sectors.
• Write maintainable, scalable performant python code, Build high volume and high availability analytics systems, Push the state of the art of MLOPs to push the industry ahead.

Requirements:

• 3+ years work experience with production-grade python- preferably contribution to open source repost.
• Prior experience with ML monitoring, observability & explainability systems, and familiarity with tools for data science like Pandas, Notebooks, Numpy, Scipy, etc.
• Comfortable working in a Linux environment, experience with one relational & 1 non-relational DB is preferred.
• Some working experience with TensorFlow or PyTorch is preferred.
• Experience with model analysis and experimentation frameworks like MLFlow, W& B;, tfma is preferred.

Customer Operational Account Management:

 The Customer Success Manager (CSM) will focus on establishing and maintaining positive client relationships from an operational and strategic perspective. The incumbent will utilize client relationship management skills to maintain and renew existing contracts, as well as to obtain additional revenue within the assigned account workload.

 Take ownership of customers’ operational needs and steward throughout the organization as required.

 Identifying and recommending resolutions to all Customers’ issues enabling the Customer to place 100% of Customer business on the Company’s products and Services.

 On-going support for advanced or escalated questions/issues/problems.

 Continuously seek opportunities to increase customer satisfaction and deepen client relationships, revenue, profitability, and loyalty.

 Act as a product expert and assist clients in achieving maximum ROI through consultation, training, and analysis for the Company’s customers including but not limited to:  Being a Subject Matter Expert on assigned products and services.  Post-training assessment review and recommendations.  Communication of all system enhancements.  Prepare clients for upcoming releases and ensure they are current on available functionality and how it can meet their needs.  Adherence to Internal and Industry Risk and Compliance rules and responsibilities.  Responsible for assuring the Company’s compliance with its obligations under the Partner Agreement and the Service Level Agreement as it relates to his/her customers.  Maintain an understanding of the market and industry dynamics, including applicable regulations.

The ideal candidate is well versed in Photoshop and experienced in all manner of web-design elements, such as the design and layout of buttons, links, menus, and text.

Will work creatively and directly with User Interface Head to create and deliver quality work in a timely manner.

Will be responsible for creating the look and feel of the public website/marketplace/eCommerce

Creating responsive design using media query and bootstrap.

Web and mobile UI/UX design & wireframe mockups, and prototypes Using Photoshop, illustrator online mockup tool. Graphic work like logo, brochure, magazine ad, poster, icon & infographic design using Photoshop and illustrator and any previous eCommerce/marketplace will be an added advantage.

• Experience in defining and architecting future-ready commercial and customer-facing Digital products and platforms and demonstrated digital architecture thought leadership (big picture thinking)
• Should have extensive experience in designing Salesforce applications, solution blueprinting, effort estimation, and creating work plans
• Should have strong experience in hands-on development using out-of-box features and custom development with Apex, Visualforce, JavaScript, and other force.com programming languages including high proficiency in lightning
• Should provide technical expertise in identifying, evaluating, and developing technology solutions including integrations with other enterprise software solutions
• Build and develop web services using REST, SOAP, and other Salesforce APIs to support various integration points with other systems
• Functionally strong in Salesforce Sales Cloud, Service Cloud, CPQ (Configure Price Quote)
• A technically strong and hands-on person willing to code and enthusiastic/ passionate about technical problems in Salesforce.
• Strong exposure to Salesforce Lightning (Lightning Experience, Aura and, LWC) and understands in-depth of Salesforce Lightning Design System.
• Strong exposure to Portals (Partner, Customer) with a varied use of using CMS and Data-Driven Development.
• Understand Lifecycle of Business and Lifecycle Transformation in Salesforce in Manufacturing, Healthcare, Service and, Supply Chain Verticals.
• Could perform System Evaluation in recommending points and consideration for Config vs Code.
• Has performed atleast three End to end Project Transformations in Salesforce using Sales, Service or Community.
• Proactive and willing to learn new technologies with a focus on Very Large Data Volumes and Security.
• Should have Admin, Platform Developer 2 with either salesforce Sales Cloud, Service Cloud or Community Cloud Consultant Certification.
• Voracious and Independent thinker willing to handle Customers/ Stakeholders. Willing to work independently as required.
• Should be aware of Scrum working process and handling large teams (More than 30 Members).
• Strong influencing and communication skills - Ability to present solutions to IT Leadership, business stakeholders, product and development teams in a compelling manner to help them understand why such a solution is required and have the ability to justify the rationale of the particular solution design. Ability to influence in complex situations where stakeholders do not always agree about methods, choices, and strategic direction.
• Experience with developing resource and budget estimates (BOM and staffing)
• Working with global remote teams

Desired Skills:

• Nice to Have Salesforce Architecture Certification in Application Architect or System Architect with exposure to CTA.
• Nice to have a person who understands Salesforce B2B E-commerce, Marketing Cloud, and varying Industry Cloud exposure.
• Strong familiarity with emerging digital frameworks and patterns, Information Security and Data access controls
• Experience of working with platform/package vendors and their solution teams as part of architecting the overall solution.
• Technical acumen and proficiency in Agile and DevOps methodologies, tools, and governance/standards
• Ability to deliver various artifacts as part of the enterprise application architecture, including implementation models, technology matrices, communications diagrams, application use-case diagrams, migration/distribution diagrams, etc.
• Understanding of software development practices like DevOps and CI/CD tool chains (i.e., Jenkins, Spinnaker, Azure DevOps, GitHub) is preferred
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We are looking for a data scientist that will help us to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. 

• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Extending company’s data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance

• Excellent understanding of machine learning techniques and algorithms, such as Linear regression, SVM, Decision Forests, LSTM, CNN etc.
• Experience with Deep Learning preferred.
• Experience with common data science toolkits, such as R, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
• Great communication skills
• Proficiency in using query languages such as SQL, Hive, Pig 
• Good applied statistics skills, such as statistical testing, regression, etc.
• Good scripting and programming skills 
• Data-oriented personality