AWS - Azure Data Engineer with Snowflake

Introduction

About Us:

Mercari is a Japan-based C2C marketplace company founded in 2013 with the mission to “Create value in a global marketplace where anyone can buy & sell.” From being the first tech unicorn from Japan before its IPO in 2018 we have come a long way towards becoming a global player and continuously and diligently work towards our transformation journey with a strong focus on our mission.

Since its inception, Mercari Group has worked to grow its services, investing in both our people and technology. Over time Mercari has expanded from being the top player in the C2C marketplace in Japan to new geographies like the U.S. We have also successfully launched new businesses such as Merpay, which is a mobile payment service platform with a vision to create a society where anyone can realize their dreams through a new ecosystem centered not only on payment service but also on credit. Today, Mercari Group is made up of multiple subsidiary businesses including logistics, B2C platform, blockchain, and sports team management.

For our services to be utilized by people worldwide; however, there is still a mountain of work ahead of us. This endeavor naturally requires the capability of the best talent and minds, and that is exactly the reason for us to launch the India Center of Excellence. With your help, we will continue to take on the world stage and strive to grow into a successful global tech company.

Our Culture:

To achieve our mission at Mercari, our organization and each of our employees share the same values and perspectives. Our individual guidelines for action are defined by our four values: Go Bold, All for One, Be a Pro and Move Fast. Our organization is also shaped by our four foundations: Sustainability, Diversity & Inclusion, Trust & Openness, and Well-being for Performance. Regardless of how big Mercari gets, the culture will remain essential to achieving our mission and something we want to preserve throughout our organization. We invite you to read the Mercari Culture Doc which summarizes the behaviors and mindset shared by Mercari and its employees. We continue to build an environment where all of our members of diverse backgrounds are accepted and recognized, and where they can thrive while holding dear to Mercari’s culture.

Work Responsibilities

• Machine learning engineers working in the Recommendation domain develop the functions and services of the marketplace app Mercari through the development and maintenance of machine learning systems like Recommender systems while leveraging necessary infrastructure and companywide platform tools. 
• Mercari is actively applying advanced machine learning technology to provide a more convenient, safer, and more enjoyable marketplace. Machine learning engineers use the cloud and Kubernetes to operate and improve machine learning systems.

Bold Challenges

• We are looking for people who are interested in our services, mission, and values, and want to work where engineers can go bold, use the latest technology, make autonomous decisions, and take on challenges at a rapid pace.
• Develop and optimize machine learning algorithms and models to enhance recommendation system to improve discovery experience of users
• Collaborate with cross-functional teams and product stakeholders to gather requirements, design solutions, and implement features that improve user engagement
• Conduct data analysis and experimentation with large-scale data sets to identify patterns, trends, and insights that drive the refinement of recommendation algorithms
• Utilize machine learning frameworks and libraries to deploy scalable and efficient recommendation solutions.
• Monitor system performance and conduct A/B testing to evaluate the effectiveness of features.
• Continuously research and stay updated on advancements in AI/machine learning techniques and recommend innovative approaches to enhance recommendation capabilities.

Minimum Requirements:

• Over 5-9 years of professional experience in end-to-end development of large-scale ML systems in production
• Strong experience demonstrating development and delivery of end-to-end machine learning solutions starting from experimentation to deploying models, including backend engineering and MLOps, in large scale production systems.
• Experience using common machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, NumPy, pandas)
• Deep understanding of machine learning and software engineering fundamentals
• Basic knowledge and skills related to monitoring system, logging, and common operations in production environment
• Communication skills to carry out projects in collaboration with multiple teams and stakeholders

Preferred skills:

• Experience developing Recommender systems utilizing large-scale data sets
• Basic knowledge of enterprise search systems and related stacks (e.g. ELK)
• Functional development and bug fixing skills necessary to improve system performance and reliability
• Experience with technology such as Docker and Kubernetes
• Experience with cloud platforms (AWS, GCP, Microsoft Azure, etc.)
• Microservice development and operation experience with Docker and Kubernetes
• Utilizing deep learning models/LLMs in production
• Experience in publications at top-tier peer-reviewed conferences or journals

Employment Status

Full-time

Office

Bangalore

Hybrid workstyle

• We believe in high performance and professionalism. We work from office for 2 days/week and work from home 3 days/week
• To build a strong & highly-engaged organization in India, we highly encourage everyone to work from our Bangalore office, especially during the initial office setup phase
• We will continue to review and update the policy to address future organizational needs

Work Hours

• Full flextime (no core time)

*Flexible to choose working hours other than team common meetings

Media

Owned Media

• Mercari Engineering Portal
• AI at Mercari portal
• Mercan - Introduces the people that make Mercari
• Mercari US Blog

Related Articles

• Development Platforms and Platformers: On Rising to the Global Standard Ken Wakasa, Mercari CTO | mercan
• “I'm Not a Talented Engineer” Insists the Member-Turned-Manager Revamping Our Internal CS Tool | mercan
• Personalize to globalize:How Mercari is reshaping their app, their company, and the world | mercan
• The Providers of the Safe and Secure Mercari Experience: The TnS Team, Introduced by Its Members! | mercan

Role Overview: We are looking for a skilled Workflow Developer/Sr Developer with expertise in JBPM to join our offshore team. The ideal candidate will have extensive experience in developing and managing workflow solutions, with a strong focus on JBPM. This role involves working closely with various departments to ensure seamless integration and functionality of workflow processes.

Key Responsibilities:

 Design, develop, and implement workflow solutions using JBPM.

 Collaborate with cross-functional teams to gather requirements and ensure the workflow solutions meet business needs.

 Optimize and maintain existing workflow systems to enhance performance and reliability.

 Troubleshoot and resolve issues related to workflow processes.

 Provide technical guidance and mentorship to junior developers.

 Stay updated with the latest trends and advancements in workflow technologies and JBPM.

Technical Skills:

 Strong experience in JBPM and workflow management.

 Proficiency in Java and related technologies.

 Experience with BPMN 2.0 and process modeling.

 Knowledge of integration with other systems and tools.

 Familiarity with cloud platforms and deployment processes.

A backend developer is an engineer who can handle all the work of databases, servers,

systems engineering, and clients. Depending on the project, what customers need may

be a mobile stack, a Web stack, or a native application stack.

You will be responsible for:

 Build reusable code and libraries for future use.

 Own & build new modules/features end-to-end independently.

 Collaborate with other team members and stakeholders.

Required Skills :

 Thorough understanding of Node.js and Typescript.

 Excellence in at least one framework like strongloop loopback, express.js, sail.js, etc.

 Basic architectural understanding of modern day web applications

 Diligence for coding standards

 Must be good with git and git workflow

 Experience of external integrations is a plus

 Working knowledge of AWS or GCP or Azure - Expertise with linux based systems

 Experience with CI/CD tools like jenkins is a plus.

 Experience with testing and automation frameworks.

 Extensive understanding of RDBMS systems

Company Description

Denken Solutions Inc. provides Staffing Services (IT, Engineering, and Healthcare), SAP Solutions, and Digital Transformation Services. The company is located in Hyderabad.

Role Description

This is a full-time on-site role for a Healthcare Recruiter. The Healthcare Recruiter will be responsible for staffing healthcare professionals, conducting interviews, building relationships with clients, and providing excellent customer service.

Location: Hyderabad/ Noida

Timing: 8:30 pm - 5:30 am

Qualifications

• 1+ Experience in Healthcare Staffing and Recruiting
• Experience in Hiring and Interviewing healthcare professionals
• work on positions like RN, CN, LPN etc along with the allied positions.
• Excellent Customer Service and Communication skills
• Ability to build strong relationships with clients
• Knowledge of Healthcare regulations and compliance
• Bachelor's degree in Human Resources, Business Administration, Healthcare or related field
• Experience working in the Healthcare industry or staffing agency is a plus

• Explore new business potential with all present and past clients.
• Responsible for overall Business and Revenue Growth of the Organization and its subsidiaries.
• Liasoning  with both junior and senior level officers in the Govt.
• Excellent Business communication skills.
• Client facing interactions /Communication / Updates
• Prepare the:

1. Marketing plan for the Organization and the products/Services
2. Brand positioning of the Company and its services
3. Competitor analysis

• Leads generation as per the Marketing and Revenue plan

1. Manage Lead generation sources
2. Cold Call as required
3. Meet prospects and build traction about the company and its services/offerings
4. Understand the current trends in the market pertaining to the domains in which the company operates

• Conducting interviews and sorting through applicants to fill open positions.
• Assessing applicants' knowledge, skills, and experience to best suit open positions.
• Completing paperwork for new hires.
• Providing recruitment reports to team managers.