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EDI Developer / Map Conversion Specialist

Role Summary:

Responsible for converting 441 existing EDI maps into the PortPro-compatible format and testing them for 147 customer configurations.

Key Responsibilities:

• Analyze existing EDI maps in Profit Tools.
• Convert, reconfigure, or rebuild maps for PortPro.
• Ensure accuracy in mapping and transformation logic.
• Unit test and debug EDI transactions.
• Support system integration and UAT phases.

Skills Required:

• Proficiency in EDI standards (X12, EDIFACT) and transaction sets.
• Hands-on experience in EDI mapping tools.
• Familiarity with both Profit Tools and PortPro data structures.
• SQL and XML/JSON data handling skills.
• Experience with scripting for automation (Python, Shell scripting preferred).
• Strong troubleshooting and debugging skills.

Responsibilities & Duties:

Track and evaluate individual and team performance against sales targets and KPIs.

Provide ongoing coaching and development to the team to enhance their sales skills and product knowledge.

Create and implement sales strategies to achieve these goals.

Establish clear sales goals and objectives for the team.

Ensure high levels of customer satisfaction through effective communication and problem-solving.

Work closely with marketing, product development, and other departments to align sales strategies with overall business objectives.

Provide feedback from the sales team to other departments to improve products, services, and processes

Maintain relations with the existing clients and ask to upgrade their packages or renewals

Prepare and follow up on sales quotations made to clients.

Will be responsible for client retention, per-client revenue optimization & renewals.

Should have effective sales & negotiation ability.

Interacting with vendors for product upload in their respective Domains.

Improve Customer perception and product-wise market share, a good understanding of the technical and market feasibility of the product.

Required Experience, Skills and Qualifications:

Experience: Minimum 2 Months in Online and Concept Sales

Skills: Proficient Written & Verbal Communication Skills in English

Qualifications: Any Graduate

Job Description

• Java engineer with 6-8 years of experience , person with strong Java, spring core, Springboot, Rest API , Microservices hands-on experience.
• Knowing Kafka is a plus.
• Well versed with CICD, Agile processes . good attitude, good communication skills.

Role

• Code development, testing, team coordination,
• Open to work on non-tech activities along with coding also.
• Should be ready and flexible to work from Impetus office and customer office as per the requirement of project.

About Company

Company is an award winning Agri-Tech startup that uses global leadership and expertise in the areas of agriculture and technology to transform the age-old practices of the dairy business to a modern and interesting way of doing the same by infusing technology into farmers’ lives. We are solving the burning problems of dairy farmers by extending the highly lacking technology support to the farmers. We plan to provide AI/Vet, E-commerce, and Fin-tech services to the farmers and simultaneously solve the last mile delivery problem using technology.

It is a purely tech-oriented company and is founded by alumni from IIT Roorkee and London School of Economics. The MoooFarm research team has developed and patented World’s first Cattle Facial Recognition, and is also working with Microsoft for cattle disease detection using udder image. 

What will you be working on?

• Build and nurture high performing teams of skilled software engineers. Find and hire top talent for your team
• Take the accountability of the overall health of the products you build and predictability of the deliverables of your team
• Develop the long-term strategy for your systems, while aligning them to the goals of the organization and translate that into an achievable road map.
• Manage and execute against project plans and delivery commitments.

Experience:

• 8+ years of industry experience in product based companies.
• Have engineering management experience in a high-growth B2C startup or medium-sized product-focused B2C tech company
• Demonstrated track-record of delivering well-engineered products with modern technologies.
• Experience in building and architecting products along with exposure to frontend development / Mobile / Web Apps development.
• Experience building full-stack applications with hands-on experience in the combination of programming languages: React JS, Node JS, Python, AWS, Java, microservices, etc.
• Strong expertise on one or more SQL/NO-SQL databases (MySQL, Mongo, Postgres, etc.)
• Exposure to multiple cutting edge open-source frameworks required to build microservices architecture (API Management and Testing, Messaging - Kafka, SQS, RabbitMQ, etc. Monitoring - NewRelic, ELK, etc. Container orchestration. ).
• Experience in building, deployment and maintaining high scale applications on public cloud (AWS, GCP, Azure)
• Expertise in agile software development processes, continuous integration, test automation and tools like Confluence, Git, Jenkins, and Jira.

Hiring for GCP compliant cloud data lake solutions for clinical trials for US based pharmaceutical company.

Summary

This is a key position within Data Sciences and Systems organization responsible for data systems and related technologies. The role will part of Amazon Web service (AWS) Data Lake strategy, roadmap, and AWS architecture for data systems and technologies.

Essential/Primary Duties, Functions and Responsibilities

The essential duties and responsibilities of this position are as follows:

• Collaborate with data science and systems leaders and other stakeholders to roadmap, structure, prioritize and execute on AWS data engineering requirements.
• Works closely with the IT organization and other functions to make sure that business needs and requirements, IT processes, and regulatory compliance requirements are met.
• Build the AWS infrastructure required for optimal extraction, transformation, and loading of data from a vendor site clinical data sources using AWS big data technologies
• Create and maintain optimal AWS data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
• Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product
• Work with data and analytics experts to strive for greater functionality in our data systems

Requirements

• A minimum of a bachelors degree in a Computer Science, Mathematics, Statistics or related discipline is required. A Master's degree is preferred. A minimum of 6-8 years technical management experience is required. Equivalent experience may be accepted.
• Experience with data lake and/or data warehouse implementation is required
• Minimum Bachelors Degree in Computer Science, Computer Engineering, Mathematical Engineering, Information Systems or related fields
• Project experience with visualization tools (AWS, Tableau, R Studio, PowerBI, R shiny, D3js) and databases. Experience with python, R or SAS coding is a big plus.
• Experience with AWS based S3, Lambda, Step functions.
• Strong team player and you can work effectively in a collaborative, fast-paced, multi-tasking environment
• Solid analytical and technical skill and the ability to exchange innovative ideas
• Quick learner and passionate about continuously developing your skills and knowledge
• Ability to solve problems by using AWS in data acquisitions
• Ability to work in an interdisciplinary environment. You are able to interpret and translate very abstract and technical approaches into a healthcare and business-relevant solution

At Neurosensum we are committed to make customer feedback more actionable. We have developed a platform called SurveySensum which breaks the conventional market research turnaround time. 

SurveySensum is becoming a great tool to not only capture the feedbacks but also to extract some useful insights with the quick workflow setups and dashboards. We have more than 7 channels through which we can collect the feedbacks. This makes us challenge the conventional software development design principles. The team likes to grind and helps each other to lift in tough situations. 

Day to day responsibilities include:

1. Work on the deployment of code via Bitbucket, AWS CodeDeploy and manual
2. Work on Linux/Unix OS and Multi tech application patching
3. Manage, coordinate, and implement software upgrades, patches, and hotfixes on servers.
4. Create and modify scripts or applications to perform tasks
5. Provide input on ways to improve the stability, security, efficiency, and scalability of the environment
6. Easing developers’ life so that they can focus on the business logic rather than deploying and maintaining it. 
7. Managing release of the sprint. 
8. Educating team of the best practices.
9. Finding ways to avoid human error and save time by automating the processes using Terraform, CloudFormation, Bitbucket pipelines, CodeDeploy, scripting
10. Implementing cost effective measure on cloud and minimizing existing costs.

Skills and prerequisites

1. OOPS knowledge
2. Problem solving nature
3. Willing to do the R&D
4. Works with the team and support their queries patiently 
5. Bringing new things on the table - staying updated 
6. Pushing solution above a problem. 
7. Willing to learn and experiment
8. Techie at heart
9. Git basics
10. Basic AWS or any cloud platform – creating and managing ec2, lambdas, IAM, S3 etc
11. Basic Linux handling 
12. Docker and orchestration (Great to have)
13. Scripting – python (preferably)/bash

Responsibilities:

• Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.
• Verifying data quality, and/or ensuring it via data cleaning.
• Able to adapt and work fast in producing the output which upgrades the decision making of stakeholders using ML.
• To design and develop Machine Learning systems and schemes. 
• To perform statistical analysis and fine-tune models using test results.
• To train and retrain ML systems and models as and when necessary. 
• To deploy ML models in production and maintain the cost of cloud infrastructure.
• To develop Machine Learning apps according to client and data scientist requirements.
• To analyze the problem-solving capabilities and use-cases of ML algorithms and rank them by how successful they are in meeting the objective.

Technical Knowledge:

• Worked with real time problems, solved them using ML and deep learning models deployed in real time and should have some awesome projects under his belt to showcase. 
• Proficiency in Python and experience with working with Jupyter Framework, Google collab and cloud hosted notebooks such as AWS sagemaker, DataBricks etc.
• Proficiency in working with libraries Sklearn, Tensorflow, Open CV2, Pyspark,  Pandas, Numpy and related libraries.
• Expert in visualising and manipulating complex datasets.
• Proficiency in working with visualisation libraries such as seaborn, plotly, matplotlib etc.
• Proficiency in Linear Algebra, statistics and probability required for Machine Learning.
• Proficiency in ML Based algorithms for example, Gradient boosting, stacked Machine learning, classification algorithms and deep learning algorithms. Need to have experience in hypertuning various models and comparing the results of algorithm performance.
• Big data Technologies such as Hadoop stack and Spark. 
• Basic use of clouds (VM’s example EC2).
• Brownie points for Kubernetes and Task Queues.      
• Strong written and verbal communications.
• Experience working in an Agile environment.