Salesforce developer

Job Title: Desktop Engineer

Location: Thane

Qualification: B.Sc IT / Graduate in IT

Salary: ₹18,000 CTC (₹13,500 in-hand)

Experience: Fresher / Immediate joiners can apply

Must Have : 

• At least 3-5 years of experience in AS400 as a WMS solution
• At least 3 years experience in end to end implementations, Rollout / support experience and warehouse automation.
• Strong customizing experience / Configuration experience
• Knowledge of cross integration - API & other interconnection methods
• Strong knowledge on SQL database query
• Ability to write technical documentation from Business requirements
• Knowledge on programming language like Report Program Generator and SQL
• Worked on setting up warehouse structure and expertise in all the processes Inbound,Outbound, Internal Cross docking etc. 
• Functional consulting experience to enable strong decision making
• Provide users with expert guidance on the features and usage of the process and tool
• Analyze user configuration,unit test, Integration testing 
• Having an strong understanding on automation and mechanization projects like conveyor , Auto guided vehicles 
• Assist the users with user acceptance testing and the On floor go live Support 
• Technical skills to write codes, Debug, Find the root cause of issue and provide the permanent solutions.
• Having knowledge on ticketing and defect management tools 
• Knowledge on integration technologies like JSON, MFS, RFC, MFS to communicate with other ERP & transactional systems.

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.

Job Purpose and Impact:

The Sr. Generative AI Engineer will architect, design and develop new and existing GenAI solutions for the organization. As a Generative AI Engineer, you will be responsible for developing and implementing products using cutting-edge generative AI and RAG to solve complex problems and drive innovation across our organization. You will work closely with data scientists, software engineers, and product managers to design, build, and deploy AI-powered solutions that enhance our products and services in Cargill. You will bring order to ambiguous scenarios and apply in depth and broad knowledge of architectural, engineering and security practices to ensure your solutions are scalable, resilient and robust and will share knowledge on modern practices and technologies to the shared engineering community.

Key Accountabilities:

• Apply software and AI engineering patterns and principles to design, develop, test, integrate, maintain and troubleshoot complex and varied Generative AI software solutions and incorporate security practices in newly developed and maintained applications.

• Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.

• Conduct research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services, optimizing existing generative AI models and RAG for improved performance, scalability, and efficiency, developing and maintaining pipelines and RAG solutions including data preprocessing, prompt engineering, benchmarking and fine-tuning.

• Develop clear and concise documentation, including technical specifications, user guides and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.

• Participate in the engineering community by maintaining and sharing relevant technical approaches and modern skills in AI.

• Contribute to the establishment of best practices and standards for generative AI development within the organization.

• Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.

Minimum Qualifications:

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

• Minimum of five years of related work experience

• You are proficient in Python and have experience with machine learning libraries and frameworks

• Have deep understanding of industry leading Foundation Model capabilities and its application.

• You are familiar with cloud-based Generative AI platforms and services

• Full stack software engineering experience to build products using Foundation Models

• Confirmed experience architecting applications, databases, services or integrations.

Job Sector: IT, Software

Job Type: Permanent

Location: Chennai

Experience: 10 - 20 Years

Salary: 15 - 35 LPA

Education: Any Graduate

Notice Period: Immediate

Key Skills: ReactJS, NodeJS, Angular

Contact at triple eight two zero nine four two double seven

Job Description:

Requirements

As the expectation from the candidate would be to develop, architect and work with different stakeholders in the organization, most of the skillset mentioned below is a must have.

• Overall 10+ years of experience in the IT industry.
• Full Stack Senior Developer/Architect with extensive knowledge in, at least 2 programming language such as JavaScript, C#, Java, Python, Go etc.
• Experience in any one of the Frontend JavaScript frameworks; ReactJS, Angular, VueJS.
• Experience in building and managing scalable high availability RESTful services using frameworks like NodeJS, .NET Core etc.
• Experience in RDBMS and NoSQL database technologies like SQL Server, MongoDB, DynamoDB etc.
• Extensive experience in web fundamentals like HTML 5 and CSS 3.
• Should have understanding of Containerisation with Kubernetes or Docker.
• Familiar with Test Driven Development and CI/CD pipelines (GitLab, Jenkins).
• Experience in different AWS Cloud Services like ECS, EKS, S3, EC2 etc is good to have.
• Working knowledge of source code repository Git.
• Understanding of how to build performant, decoupled, testable, maintainable code.
• Ability to understand business requirements and translate them into technical requirements.

Good written and verbal communication skills.

• Minimum 3 years of frontend development experience using React JS.
• Minimum 3 years of backend development experience using Node JS or .NET Core .

Please apply on RemoteHub: (Instantly Apply)

https://www.remotehub.com/jobs/details/website-developer-needed-64dd152bedae3a632b1f415c

Write well designed, testable, efficient code by using best software development practices

Create website layout/user interface by using standard HTML/CSS practices

Integrate data from various back-end services and databases

Gather and refine specifications and requirements based on technical needs

Create and maintain software documentation

Be responsible for maintaining, expanding, and scaling our site

Stay plugged into emerging technologies/industry trends and apply them into operations and activities

Cooperate with web designers to match visual design intent

Overview Of Responsibilities:

Create the vision and product roadmap for the next generation of ground operations solutions; articulate and evangelize it across internal and external stakeholders

Work closely with Operations and Planning teams to improve business processes and network design

Work closely with Data, Engineering and Design teams to define and build products that help us deliver high - precision and low cost services

Be the key driving force behind building additional products service capabilities

Qualifications:

A degree in engineering or a related technical discipline from Tier - I institute a must

8 - 12 years of product management experience in internet startups/supply chain organization / SaaS products or e-commerce; B2B / B2B2C experience preferred.

Strong communication and organization skills, as well as the ability to think clearly, analyze quantitatively, problem-solve, multi-task, and prioritize

Sound business judgment, attention to detail, proven ability to influence others, demonstrated experience engaging and influencing senior executives, and a strong analytical mindset

Proven track record of independently building and launching technology products from the ground up; delivering within time, budget, and quality

Demonstrated ability to turn customer needs and pain points into innovative products

The ability to thrive in a fast-paced, deadline-driven environment, along with the tenacity to develop ideas independently and the conviction to drive them to completion is crucial for this

Retrieve and analyze data, and establish key business metrics to measure product success and drive alignment across all teams to improve their role

Domain knowledge of supply chain/logistics is preferable, but not required,