SAP B1 Developer

Job Description-

We are seeking a highly skilled Solution Architect to join our dynamic team in Tokyo. The ideal candidate will have substantial experience in designing, implementing, and deploying cutting-edge solutions involving Machine Learning (ML), Cloud Computing, Full Stack Development, and Kubernetes. The Solution Architect will play a key role in architecting and delivering innovative solutions that meet business objectives while leveraging advanced technologies and industry best practices.

Job Title: Solution Architect ML, Cloud

Experience:5-10 years

Client Location: Bangalore

Work Location: Tokyo, Japan (Onsite)

We are seeking a highly skilled Solution Architect to join our dynamic team in Tokyo. The ideal candidate will have substantial experience in designing, implementing, and deploying cutting-edge solutions involving Machine Learning (ML), Cloud Computing, Full Stack Development, and Kubernetes. The Solution Architect will play a key role in architecting and delivering innovative solutions that meet business objectives while leveraging advanced technologies and industry best practices.

Job Title: Solution Architect (ML, Cloud)

Location: Tokyo, Japan (Onsite)

Experience: 5-10 years

Overview: We are looking for a skilled Solution Architect with expertise in Machine Learning (ML), Cloud Computing, Full Stack Development, and Kubernetes to join our team in Tokyo. The ideal candidate will be responsible for designing and implementing cutting-edge, scalable solutions while leveraging the latest technologies and best practices to meet business objectives.

Key Responsibilities:

Collaborate with stakeholders to understand business needs and develop scalable, efficient technical solutions.

Architect and implement complex systems integrating Machine Learning, Cloud platforms (AWS, Azure, Google Cloud), and Full Stack Development.

Lead the development and deployment of cloud-native applications using NoSQL databases, Python, and Kubernetes.

Design and optimize algorithms to improve performance, scalability, and reliability of solutions.

Review, validate, and refine architecture to ensure flexibility, scalability, and cost-efficiency.

Mentor development teams and ensure adherence to best practices for coding, testing, and deployment.

Contribute to the development of technical documentation and solution roadmaps.

Stay up-to-date with emerging technologies and continuously improve solution design processes.

Required Skills & Qualifications:

5-10 years of experience as a Solution Architect or similar role with expertise in ML, Cloud, and Full Stack Development.

Proficiency in at least two major cloud platforms (AWS, Azure, Google Cloud).

Solid experience with Kubernetes for container orchestration and deployment.

Hands-on experience with NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB).

Expertise in Python and ML frameworks like TensorFlow, PyTorch, etc.

Practical experience implementing at least two real-world algorithms (e.g., classification, clustering, recommendation systems).

Strong knowledge of scalable architecture design and cloud-native application development.

Familiarity with CI/CD tools and DevOps practices.

Excellent problem-solving abilities and the ability to thrive in a fast-paced environment.

Strong communication and collaboration skills with cross-functional teams.

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Preferred Qualifications:

Experience with microservices and containerization.

Knowledge of distributed systems and high-performance computing.

Cloud certifications (AWS Certified Solutions Architect, Google Cloud Professional Architect, etc.).

Familiarity with Agile methodologies and Scrum.

Japanese language proficiency is an added advantage (but not mandatory).

Skills : ML, Cloud (any two major clouds), algorithms (two algorithms must be implemented), full stack, kubernatics, no sql, Python

 Responsibilities:

• Collaborate with stakeholders to understand business needs and translate them into scalable and efficient technical solutions.
• Design and implement complex systems involving Machine Learning, Cloud Computing (at least two major clouds such as AWS, Azure, or Google Cloud), and Full Stack Development.
• Lead the design, development, and deployment of cloud-native applications with a focus on NoSQL databases, Python, and Kubernetes.
• Implement algorithms and provide scalable solutions, with a focus on performance optimization and system reliability.
• Review, validate, and improve architectures to ensure high scalability, flexibility, and cost-efficiency in cloud environments.
• Guide and mentor development teams, ensuring best practices are followed in coding, testing, and deployment.
• Contribute to the development of technical documentation and roadmaps.
• Stay up-to-date with emerging technologies and propose enhancements to the solution design process.

Key Skills & Requirements:

• Proven experience 5-10 years) as a Solution Architect or similar role, with deep expertise in Machine Learning, Cloud Architecture, and Full Stack Development.
• Expertise in at least two major cloud platforms (AWS, Azure, Google Cloud).
• Solid experience with Kubernetes for container orchestration and deployment.
• Strong hands-on experience with NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB, etc.).
• Proficiency in Python, including experience with ML frameworks (such as TensorFlow, PyTorch, etc.) and libraries for algorithm development.
• Must have implemented at least two algorithms (e.g., classification, clustering, recommendation systems, etc.) in real-world applications.
• Strong experience in designing scalable architectures and applications from the ground up.
• Experience with DevOps and automation tools for CI/CD pipelines.
• Excellent problem-solving skills and ability to work in a fast-paced environment.
• Strong communication skills and ability to collaborate with cross-functional teams.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Preferred Skills:

• Experience with microservices architecture and containerization.
• Knowledge of distributed systems and high-performance computing.
• Certifications in cloud platforms (AWS Certified Solutions Architect, Google Cloud Professional Cloud Architect, etc.).
• Familiarity with Agile methodologies and Scrum.
• Knowing Japanese Language is an additional advantage for the Candidate. Not mandatory.

Job Title: Data Engineer

Cargill’s size and scale allows us to make a positive impact in the world. Our purpose is to nourish the world in a safe, responsible and sustainable way. We are a family company providing food, ingredients, agricultural solutions and industrial products that are vital for living. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials — from eggs to edible oils, salt to skincare, feed to alternative fuel. Our 160,000 colleagues, operating in 70 countries, make essential products that touch billions of lives each day. Join us and reach your higher purpose at Cargill.

Job Purpose and Impact

As a Data Engineer at Cargill you work across the full stack to design, develop and operate high performance and data centric solutions using our comprehensive and modern data capabilities and platforms. You will play a critical role in enabling analytical insights and process efficiencies for Cargill’s diverse and complex business environments. You will work in a small team that shares your passion for building innovative, resilient, and high-quality solutions while sharing, learning and growing together.

Key Accountabilities

Collaborate with business stakeholders, product owners and across your team on product or solution designs.

· Develop robust, scalable and sustainable data products or solutions utilizing cloud-based technologies.

· Provide moderately complex technical support through all phases of product or solution life cycle.

· Perform data analysis, handle data modeling, and configure and develop data pipelines to move and optimize data assets.

· Build moderately complex prototypes to test new concepts and provide ideas on reusable frameworks, components and data products or solutions and help promote adoption of new technologies.

· Independently solve moderately complex issues with minimal supervision, while escalating more complex issues to appropriate staff.

· Other duties as assigned

Qualifications

MINIMUM QUALIFICATIONS

· Bachelor’s degree in a related field or equivalent experience

· Minimum of two years of related work experience

· Other minimum qualifications may apply

PREFERRED QUALIFCATIONS

· Experience developing modern data architectures, including data warehouses, data lakes, data meshes, hubs and associated capabilities including ingestion, governance, modeling, observability and more.

· Experience with data collection and ingestion capabilities, including AWS Glue, Kafka Connect and others.

· Experience with data storage and management of large, heterogenous datasets, including formats, structures, and cataloging with such tools as Iceberg, Parquet, Avro, ORC, S3, HFDS, HIVE, Kudu or others.

· Experience with transformation and modeling tools, including SQL based transformation frameworks, orchestration and quality frameworks including dbt, Apache Nifi, Talend, AWS Glue, Airflow, Dagster, Great Expectations, Oozie and others

· Experience working in Big Data environments including tools such as Hadoop and Spark

· Experience working in Cloud Platforms including AWS, GCP or Azure

· Experience of streaming and stream integration or middleware platforms, tools, and architectures such as Kafka, Flink, JMS, or Kinesis.

· Strong programming knowledge of SQL, Python, R, Java, Scala or equivalent

· Proficiency in engineering tooling including docker, git, and container orchestration services

· Strong experience of working in devops models with demonstratable understanding of associated best practices for code management, continuous integration, and deployment strategies.

· Experience and knowledge of data governance considerations including quality, privacy, security associated implications for data product development and consumption.

Equal Opportunity Employer, including Disability/Vet.

What does the core role include?

• Designing and developing high-volume, low-latency applications for mission-critical systems and delivering high-availability and performance
• Designing stateless components in React Native
• Contributing in all phases of the development lifecycle
• Working with the developers to create and maintain a robust framework to support the apps
• Working with the developers to build the interface with a focus on usability features
• 
  

What else can you expect in the role?

• Prepare and produce releases of software components
• Optimizing performance for the apps
• Problem-solving skills, analytical mind, and positive attitude
• Ability to think from end users perspective and focused on improving the overall product experience.
• Deliver across the entire app life cycle concept, design, build, deploy, test, release to app stores and support
• 
  

What can fetch you brownie points?

• Hands on experience with React Native is required
• Hands-on experience in React Native APIs, ReactJS, Javascript, ECMAScript (OOJS) and JSX.
• Strong understanding of JavaScript ecosystem
• Hands on experience on Android in creating Hybrid / Native applications
• Demonstrable UI/UX experience on a large-scale app.
• Thorough understanding of React Native development tools like IDEs (Nuclide, Atom, Sublime Text, or Visual
• Good knowledge of JS frameworks like ReactJS is a plus.

Desired Skills and Experience

Hybrid Apps,React Native, Native iOS and Android Architecture understanding

Job Responsibilities- 

-Supporting Manager in terms of, collecting cheques, handling samples to the client and supporting all administrative work.

-Understand Client requirements and suggest appropriate signage solutions 

-Quotation preparation on the reception of client requirements 

-Responsible for timely collection of payments from clients 

-Preparation of mailers on Cosign updates for customers and peers 

-Responsible for daily, weekly, and fortnightly reporting to the Reporting heads 

Big Data Engineer/Data Engineer


What we are solving
Welcome to today’s business data world where:
• Unification of all customer data into one platform is a challenge

• Extraction is expensive
• Business users do not have the time/skill to write queries
• High dependency on tech team for written queries

These facts may look scary but there are solutions with real-time self-serve analytics:
• Fully automated data integration from any kind of a data source into a universal schema
• Analytics database that streamlines data indexing, query and analysis into a single platform.
• Start generating value from Day 1 through deep dives, root cause analysis and micro segmentation

At Propellor.ai, this is what we do.
• We help our clients reduce effort and increase effectiveness quickly
• By clearly defining the scope of Projects
• Using Dependable, scalable, future proof technology solution like Big Data Solutions and Cloud Platforms
• Engaging with Data Scientists and Data Engineers to provide End to End Solutions leading to industrialisation of Data Science Model Development and Deployment

What we have achieved so far
Since we started in 2016,
• We have worked across 9 countries with 25+ global brands and 75+ projects
• We have 50+ clients, 100+ Data Sources and 20TB+ data processed daily

Work culture at Propellor.ai
We are a small, remote team that believes in
• Working with a few, but only with highest quality team members who want to become the very best in their fields.
• With each member's belief and faith in what we are solving, we collectively see the Big Picture
• No hierarchy leads us to believe in reaching the decision maker without any hesitation so that our actions can have fruitful and aligned outcomes.
• Each one is a CEO of their domain.So, the criteria while making a choice is so our employees and clients can succeed together!

To read more about us click here:
https://bit.ly/3idXzs0" target="_blank">https://bit.ly/3idXzs0

About the role
We are building an exceptional team of Data engineers who are passionate developers and wants to push the boundaries to solve complex business problems using the latest tech stack. As a Big Data Engineer, you will work with various Technology and Business teams to deliver our Data Engineering offerings to our clients across the globe.

Role Description
• The role would involve big data pre-processing & reporting workflows including collecting, parsing, managing, analysing, and visualizing large sets of data to turn information into business insights
• Develop the software and systems needed for end-to-end execution on large projects
• Work across all phases of SDLC, and use Software Engineering principles to build scalable solutions
• Build the knowledge base required to deliver increasingly complex technology projects
• The role would also involve testing various machine learning models on Big Data and deploying learned models for ongoing scoring and prediction.

Education & Experience
• B.Tech. or Equivalent degree in CS/CE/IT/ECE/EEE 3+ years of experience designing technological solutions to complex data problems, developing & testing modular, reusable, efficient and scalable code to implement those solutions.

Must have (hands-on) experience
• Python and SQL expertise
• Distributed computing frameworks (Hadoop Ecosystem & Spark components)
• Must be proficient in any Cloud computing platforms (AWS/Azure/GCP)  • Experience in in any cloud platform would be preferred - GCP (Big Query/Bigtable, Pub sub, Data Flow, App engine )/ AWS/ Azure

• Linux environment, SQL and Shell scripting Desirable
• Statistical or machine learning DSL like R
• Distributed and low latency (streaming) application architecture
• Row store distributed DBMSs such as Cassandra, CouchDB, MongoDB, etc
. • Familiarity with API design

Hiring Process:
1. One phone screening round to gauge your interest and knowledge of fundamentals
2. An assignment to test your skills and ability to come up with solutions in a certain time
3. Interview 1 with our Data Engineer lead
4. Final Interview with our Data Engineer Lead and the Business Teams

Preferred Immediate Joiners

About Us

Welthungerhilfe is an international aid agency headquartered in Germany with its vision for “Zero Hunger by 2030”, the second sustainable development goal set by the UN. It has thousands of programs fighting hunger in more than 30 countries. Welthungerhilfe (https://www.welthungerhilfe.org/">https://www.welthungerhilfe.org)  (https://www.childgrowthmonitor.org/">https://www.childgrowthmonitor.org).

Child Growth Monitor (CGM) is Welthungerhilfe’s digital innovation project leveraging AI to fight child malnutrition. Around 200 million children around the world are suffering from malnutrition. Malnutrition contributes to one-third of the deaths of children under the age of five. In the fight against malnutrition, detection is the first important step, but this is not an easy task: Measuring children with traditional methods is still a complex, slow, and expensive task, frequently resulting in poor data and wrong assessments of the child’s health. Early detection of malnutrition becomes the key to initiating treatment, minimizing the risk of complications, and saving lives by reducing the chances of death to a great extent.

Our solution to measure children replaces hardware (bulky measuring boards and physical scales) with off-the-shelf cell phones and AI. CGM uses augmented reality-enabled smartphones to record 3D scans of children. Artificial Intelligence is used to predict their height, weight, and middle upper-arm circumference needed to know the nutritional status of the children.

This role concerns a full-time assignment (Consultant role) working for Welthungerhilfe’s CGM project. This will convert to Full-time employment (payroll) in 1^st quarter of 2023 latest. We are in the process of setting up CGM as a registered social business in India and Germany.

What you would do to help us save millions of children's lives

You, as an Engineering Manager responsible for end-to-end software development and delivery including ownership of the components/features owned by the individual’s teams and required to be an individual contributor too. Responsible for managing and coordinating resources and processes in order to achieve quality & timely milestones of product development, this will result in transforming the lives of children, their families, community at large globally.

Your Responsibilities

• Be a highly technical, hands-on manager for a team of 8 -15 product development teams including QA to execute agile development sprints.
• Interfacing with the frontend/backend/ML/AI/DevOps team to develop end-to-end APIs, systems, and architectures.
• Building, communicating and executing robust development, documentation, and product engineering processes
• Define Strategy and Architecture for the new and existing suites of algorithms and their underlying systems.
• Work closely with data scientists, Data Engineers, Product managers, and analysts to develop analytics and ML-driven services that serve ML predictions, and generate data, Insights, and recommendations based on large amounts of data.
• Establish scalable, efficient, automated processes for data analyses, model development, validation, and implementation
• Contribute to and promote good software engineering practices across the team
• Coach, lead, and manage a dynamic team of Software and AI/ML Engineers to meet organizational objectives and grow their professional skills and capabilities.
• Communicate clearly and effectively to technical and non-technical audiences equally well
• Actively contribute to and reuse community best practices.

Technical Skills Required:

• Must be a hands-on engineering leader as this role involves rearchitecting and reimplementing systems working alongside the engineers.
• Hands-on development experience using Python (Flask for backend), React, React Native, Nodejs, Vuejs, JavaScript, API Development, MySQL, PostgreSQL, and Native Azure cloud development. (You may not need to demonstrate expertise in each of them but have some experience to manage related engineering divisions)
• Ability to coordinate across different products, engineering tasks, and implementing the modules along with scalability, security, and extensibility in mind.
• Well-versed in Flask-Python stack with backend tools such as Kubernetes etc.
• Should possess strong programming skills to write algorithms and understanding of agile development, CI/CD, sprints, code reviews

Eligibility:

• 10+ years of software development experience using an Agile development process with 3+ years of management experience.
• 2-3 years of experience working with a Growth Stage Start-up is desirable.
• Prior experience with creating and maintaining solution architecture
• Minimum of a Bachelor's degree or equivalent in Computer Science, Information Technology, Engineering, or a related field
• Demonstrated track record in building and recruiting robust high performing teams

Personal Traits

• Smart, quick learner, proactive, comfortable working with unknowns and dynamically evolving requirements
• Strong analytical and problem-solving skills
• Excellent oral and written communication skills (interpersonal)
• Proven ability to hire, mentor, coach, and lead a team to success

What You'll Get

• Working with a globally distributed team and partners such as UN agencies, Microsoft, Scientific Research Institutions across the world, etc.
• Flexible work culture & tons of learning curve
• Competitive salary package based on expertise and relevant experience.
• Chance to shape a disruptive AI-driven project to achieve the 'Zero Hunger by 2030' UN goal.

Hiring Process

• You apply
• [30 min] Preliminary discussion with HR
• [60 min] In-depth interview: Domain/Technical round screen with Head of Product / The product team
• [Optional] Scenarios-based recommendation/Culture fit phase- Where you work with us virtually for two days and suggest what's good and improvement areas. Also currently, we gauge our cultural fit with you. [Note- It’s not paid work]
• [60 min] In-depth interview: Final round screen with the Leadership team
• The next day, we evaluate your interview performance, recommendations, and cultural fit.
• Over the next 2-3 days We check references/background and inform you about the hiring decision (Yes or No with feedback)

Diversity at Child Growth Monitor:

We are dedicated to creating an inclusive environment for everyone, regardless of gender identity, sexual orientation, race, ethnicity, migration background, national origin, age, disability status, or caregiver status. We celebrate diversity and are committed to creating an inclusive environment for all employees. Diversity & Inclusion makes us better.

***

Legal decision maker

CS Experience optional

Job title: Azure Architect

Locations: Noida, Pune, Bangalore and Mumbai

Responsibilities:

• Develop and maintain scalable architecture, database design and data pipelines and build out new Data Source integrations to support continuing increases in data volume and complexity
• Design and Develop the Data lake, Data warehouse using Azure Cloud Services
• Assist in designing end to end data and Analytics solution architecture and perform POCs within Azure
• Drive the design, sizing, POC setup, etc. of Azure environments and related services for the use cases and the solutions
• Reviews the solution requirements support architecture design to ensure the selection of appropriate technology, efficient use of resources and integration of multiple systems and technology.
• Must possess good client-facing experience with the ability to facilitate requirements sessions and lead teams
• Support internal presentations to technical and business teams
• Provide technical guidance, mentoring and code review, design level technical best practices

Experience Needed:

• 12-15 years of industry experience and at least 3 years of experience in architect role is required along with at least 3 to 4 years’ experience designing and building analytics solutions in Azure.
• Experience in architecting data ingestion/integration frameworks capable of processing structured, semi-structured & unstructured data sets in batch & real-time
• Hands-on experience in the design of reporting schemas, data marts and development of reporting solutions
• Develop batch processing, streaming and integration solutions and process Structured and Non-Structured Data
• Demonstrated experience with ETL development both on-premises and in the cloud using SSIS, Data Factory, and Azure Analysis Services and other ETL technologies.
• Experience in Perform Design, Development & Deployment using Azure Services ( Azure Synapse, Data Factory, Azure Data Lake Storage, Databricks, Python and SSIS)
• Worked with transactional, temporal, time series, and structured and unstructured data.
• Deep understanding of the operational dependencies of applications, networks, systems, security, and policy (both on-premise and in the cloud; VMs, Networking, VPN (Express Route), Active Directory, Storage (Blob, etc.), Windows/Linux).

Mandatory Skills: Azure Synapse, Data Factory, Azure Data Lake Storage, Azure DW, Databricks, Python