Relationship Manager - Jaipur Location

We are looking for an experienced SAP ABAP Consultant to join our team. The SAP ABAP Consultant will be responsible for designing, developing, testing, and maintaining ABAP-based solutions in an SAP environment. This role requires a deep understanding of SAP modules and the ability to collaborate effectively with functional teams to ensure the seamless integration of business processes with SAP applications.

Key Responsibilities:

1.ABAP Development:

• Design and develop ABAP programs, reports, interfaces, forms, enhancements, and conversions in SAP.
• Ensure quality coding practices, adhering to performance optimization and security guidelines.
• Troubleshoot and resolve issues related to ABAP programs and custom developments.

2.System Analysis and Design:

• Work closely with business analysts and functional consultants to understand business requirements and translate them into technical specifications.
• Participate in the blueprinting phase and provide technical expertise to ensure the solution aligns with business needs.

3.Integration:

• Develop custom interfaces between SAP and third-party systems, including inbound and outbound data exchanges.
• Ensure proper integration with SAP modules such as SAP MM, SD, FI, and HR.

4.Performance Optimization:

• Continuously monitor and enhance the performance of ABAP programs, focusing on reducing runtime and optimizing database queries.

5.Testing and Debugging:

• Perform unit testing and support integration testing to ensure that all solutions work as expected.
• Support debugging and troubleshooting issues in SAP development.

6.Support & Maintenance:

• Provide ongoing support for SAP applications, including resolving incidents and handling change requests.
• Assist in the deployment of ABAP solutions into production environments and ensure smooth transitions.

7.Documentation:

• Prepare detailed technical documentation for the developments created, including the logic behind the ABAP code and integration points.
• Maintain up-to-date records of changes made in the system, including code versioning.

8.Collaboration:

• Collaborate with SAP functional consultants (FI/CO/SD/MM/HR) to understand requirements and provide technical solutions.
• Participate in project meetings to provide input on the technical scope and development timelines.

Key Skills & Qualifications:

• Experience:
• 3+ years of experience in SAP ABAP development, preferably in a full-cycle SAP implementation or support project.
• Strong experience with ABAP programming techniques, including reports, forms, BAPI, RFC, ALV, user exits, and enhancements.
• Experience with SAP modules such as SAP MM, SD, FI, CO, and HR is preferred.
• Technical Skills:
• In-depth knowledge of ABAP Workbench, Data Dictionary, SAPscript, SmartForms, and Workflow.
• Proficiency in writing custom reports, BADI, BAPI, and user-exits.
• Strong experience with SAP NetWeaver, SAP HANA, and understanding of SAP Fiori/UI5 is a plus.
• Knowledge of performance tuning and optimization techniques for ABAP programs.

Full Stack Engineer

Job Description

 As a Full stack developer he/she should be able to provide scalable software solutions

 He/she be a part of cross-functional team that’s responsible for the full

SDLC, from conception to deployment.

 Design and architect highly scalable web services applications

 Develop and maintain all server-side network components

 Collaborate with front-end developers on the integration of elements Architect

Content Management Solution and scalable API platform

 Design back-end services for various business processes

 Partner with third-party technology services and make strategic inputs.

 Develop high-performance applications by writing testable, reusable, and efficient

code

 Create workflows and solutions involving search, recommendations, rights

management, monetization, identity management, SSO, authorization,

authentication, etc.

 Work with large datasets and optimize server-side performance

 Implement effective security protocols, data protection measures, and storage

solutions

 Run diagnostic tests, repair defects, and provide technical support

 Experience in writing backend API services in a serverless framework would be

preferred.

 Knowledge of microservice architecture is required

 Collaborate with the tech and product teams to drive execution across all platforms

while balancing short-term requirements with long-term objectives

Requirements

 4-7 years of Knowledge of Node.js and ReactJS frameworks

 Experience in creating and maintaining efficient NoSQl databases GRPC and Json

Elasticsearch

 Experience in AWS environment, cloud deployments and lambda

 DevOps and web security

 API development and deployment

 Unit and integration testing

What you need to have:

We are scouting for an experienced candidate who has worked in Brand Activation and has an experience in managing brand campaigns effectively to promote products to generate brand recall.

The candidate must have a proven credential in managing the vendors and executing events/activations meticulously to avoid any hiccups. 

We expect the candidate to also have deep understanding about the VM, In-branch branding collaterals, material and media types to efficiently implement the branch branding and manage the marketing collaterals requirements for internal stake holders.

Experience skills

• 6-8 years of experience in brand, activation, VM, negotiation, vendor management in CPG / FMCG / FMCD / BFSI. 
• Excellent knowledge of media types, printing and vendor network. 
• Understanding of conceptualization and execution of branding activities. 
• Proven track record in brand campaign strategies 
• In-depth knowledge of market catchment. 

Key Responsibilities

• Developing the regional activation strategy for the company in line with the company objectives.
• Planning and implementing regional promotional campaigns in alignment with the sales team.
• Manage and execute lead generation programs.
• Stakeholder alignment on activation setting & budget sharing/planning basis Calendar. 
• Co-ordinate new branch launches.
• Planning and managing small, medium and large format branch level channel partner engagement periodically in alignment with the stakeholder.
• Create value proposition for the product portfolios, on immediate and long-term basis
• Derive the regions budget for all marketing activation initiatives basis brand and business objectives in conjunction with the Brand Activation Lead.
• Scan the competitive and industry environment for potential consumer insights or marketing opportunities.
• Ensure brand compliance in all forms of communication.
• Leverage data analytics and martech tools to analyze sales, marketing, customer service, and competition trends.

Key performance Indication

On Time & In full Delivery Of:

• Ensure Budget compliance - Allocation vs actual spends, Billing Management & Vendor Management.
• Ground Activations, Catchment Visibility & Joint Business Activations - Planning, executing and monitoring on ground initiatives in line with Business objective. Initiatives focused in and around branch / micro branch catchment.
• Channel partner engagement, Branding Initiatives, Contests & R&R Meets - Planning and managing small, medium, large format and branch level channel partner engagement. End to end management of events.
• Large-scale activations – Planning, budgeting, Execution and monitoring all large-scale activations. 
• Activity Efficiency - Ensure achievement of Conversion per lead generation activity for all business. 
• Stakeholder Management – Ensuring stakeholder alignment and meeting on goal setting for all business.

Core Competency

• Execution & Delivery - Takes ownership providing timely and result oriented solutions with operational excellence
• Accountability - Responsible for the tasks assigned under the ambit of the key responsibilities of the role and   additionally for any dependencies with cross functional teams
• Team - Work & Collaboration - Fosters a culture of trust, collaboration and support
• Effective Communication - Communicates timely and responsively with clarity and effect (both verbal and written). Seeks and provides feedback

·         Design content marketing strategies and set short-term goals.

·         Plan, handle and execute various digital channel ads and PPC campaigns for company websites

·         Handle team of executives to lead SEO, content, and design requirements of marketing campaigns

·         Handle both online and offline marketing: hands-on experience with digital media, including SEO , PPC, social media marketing, email, and affiliate channels.

·         Lead and manage whole lead generation initiative for B2B services campaign in international markets like USA, UK, Australia and Europe.

·         Use and manage different tools required to manage, control and report progress of marketing initiatives and campaigns

·         Conceptualize, design and execute various marketing campaigns from time to time to generate high quality qualifies leads for company

·         Accomplished at leveraging full value from marketing automation processes and tools.

·         4+ years of hands-on marketing experience in a B2B role.

·         Excellent understanding of B2B services marketing.

·         Knowledge of Demand Generation tactics and Lead Conversion principles.

·         Ability to create value propositions that communicate clearly to targeted audiences.

• Extensive experience in creating audience segments and developing marketing campaigns that deliver a targeted message and create affinity with brands.

·         Demonstrated ability to manage the budgeting process and use of analytical skills.

·         Proven track record in delivering marketing campaigns that drive sales growth.

·         An understanding of agile marketing, to identify and focus on high-value projects and then continuously and incrementally improve the results over time.

·         Excellent English written and verbal communication skills.

·         B2B Services Marketing

·         Marketing Campaigns

·         Demand Generation

·         Lead Conversion

·         Content Creation

·         Sales process understanding

·         SEO

·         PPC

High Level JD:

* Experience in MVC, C#, http://asp.net/" target="_blank">ASP.NET, .NET Framework,Jquery, Javascript and HTML design.
* Experience with Elastic(Logstash, Elastic Search, Kibana ) 
* Strong understanding of Elasticsearch index configuration options.
* The elasticsearch work requires refactoring involving search engine understanding
* Database - Oracle, SQL Server
* Familiarity with architecture styles/APIs (REST)
* Understanding of Agile methodologies
* Excellent troubleshooting and communication skills

* Delivering a high-quality application
* Write clean, scalable code using .NET programming languages
* Revise, update, refactor and debug code
* Improve and support existing software

Role and Responsibilities

• Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
• The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
• Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).

Core Qualifications
Candidates must meet ALL of the following qualifications:

• Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
• Three years of industry work experience, developing data mining models which were deployed and used.
• Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
• Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks

Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:

• Soft Skills
  • Sets expectations, develops project plans and meets expectations.
  • Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
• Technical skills
  • Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
  • Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
  • Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
  • Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
  • OpenCV or other image processing tools or libraries
  • Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
  • Decision trees like XGBoost or Random Forests is helpful.
  • Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
  • Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
  • Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
  • Experience with PMML is of interest (see www.DMG.org).
• Vertical experience in Industrial Internet of Things (IoT) applications:
  • Energy: Oil and Gas, Wind Turbines
  • Manufacturing: Motors, chemical processes, tools, automotive
  • Smart Cities: Elevators, cameras on population or cars, power grid
  • Transportation: Cars, truck fleets, trains

About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.

Press:  https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/

Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/

• 2019 Edge Computing Company of the Year – Compass Intelligence
• 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
• 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
• 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
• 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
• 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
• 2018 The 10 Most Innovative AI Solution Providers – Insights Success
• 2018 The AI 100 – CB Insights
• 2017 Cool Vendor in IoT Edge Computing – Gartner
• 2017 20 Most Promising AI Service Providers – CIO Review

Our Series A round was for $15 million.  Our Series B round was for $30 million October 2017.  Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.

About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9.  We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects.  About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.

Our data scientists like our team because:

• We care about “best practices”
• Have a direct impact on the company’s revenue
• Give or receive mentoring as part of the collaborative process
• Questions and challenging the status quo with data is safe
• Intellectual curiosity balanced with humility
• Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning