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Designation: SAP SD Consultant
Experience: 4-10 years
Location: Chennai, Coimbatore, Bhubaneswar
Job description
1. SAP SD(Sales and Distribution) - HANA Sales of S/4 HANA
2. O2C(Order To Cash ) business process expertise,
3. SAP SD Implementation/Support/Development project expertise.
4. Exposure to SAP SD configurations (O2C processes, Pricing Procedure, Revenue account determination, Credit Management, Rebate Processing, Batch Management, Consignment, Stock transport orders)
5. S/4 Migration/Implementation/AMS experience
6. SAP Activate, ITSM Tools, SAP Release Management, Agile MethodologyByteridge is seeking a Business Intelligence Solutions engineer to drive
transformative analytics and AI-powered insights for our strategic customers across India. You will lead
complex deployments of Amazon QuickSuite and related AWS analytics services, working directly with
customers to accelerate their data-driven transformation.
This role combines deep technical expertise in business intelligence, data integration, and AI automation to deliver production-ready solutions that unlock the full potential of customer data across multi-cloud environments.
What You'll Do
Solution Architecture & Deployment
• Lead end-to-end deployments of Amazon QuickSuite, QuickSight, and AWS analytics solutions forstrategic customers
• Design and implement comprehensive BI architectures that integrate with diverse data sourcesacross multi-cloud environments
• Develop custom connectors, APIs, and MCP (Model Context Protocol) integrations to extendplatform capabilities
• Configure and optimize Agents, Spaces, Topics, and Dashboards for customer-specific use cases
Technical Development & Integration
• Build custom connectors and integrations to connect QuickSuite with enterprise data sources
• Develop API-based solutions and automation workflows to streamline BI operations
• Implement data pipelines connecting multi-cloud data sources (AWS, Azure, GCP) to analyticsplatforms
• Create reusable templates, accelerators, and best practices for rapid deployment
Customer Engagement & Enablement
• Partner with customer teams to understand business requirements and translate them into
technical solutions
• Provide technical guidance on dashboard design, data modeling, and visualization best practices
• Train customer teams on QuickSuite capabilities, agent configuration, and self-service analytics
• Identify expansion opportunities and drive adoption of advanced analytics features
What We're Looking For
Core Qualifications
• Bachelor's degree in Computer Science, Data Science, Engineering, or equivalent practical
experience
• 4-6 years of experience in business intelligence, data analytics, or technical consulting roles
• Strong programming skills in Python, JavaScript, SQL, or similar languages
• Experience with BI platforms, data visualization, and analytics solution deployment
Technical Expertise (High-Level Alignment)
• Proficiency with business intelligence and data visualization tools (QuickSight, Tableau, Power BI, or
similar)
• Experience with API development, REST services, and integration patterns
• Understanding of data modeling, ETL/ELT processes, and data warehouse concepts
• Familiarity with AWS analytics services (QuickSight, Athena, Glue, Redshift) or equivalent platforms
Preferred Experience
• Hands-on experience with Amazon QuickSuite or similar AI-powered analytics platforms
• Knowledge of MCP (Model Context Protocol) and custom connector development
• Experience configuring AI agents, knowledge bases, and automated workflows
• Background working with multi-cloud data sources and hybrid architectures
• Understanding of data governance, security, and compliance requirements
Essential Attributes
• Excellent problem-solving skills with ability to navigate ambiguous requirements
• Strong communication skills to engage with technical and business stakeholders
• Ability to manage multiple customer engagements and prioritize effectively
• Customer-focused mindset with commitment to delivering measurable business outcomes
It is a SaaS startup founded in April 2020 by Srikrishnan Ganesan, Vignesh Girishankar, and Deepak Balasubramanyam. Before Rocketlane, they built a successful in-app messaging startup that was acquired by Freshworks(NASDAQ: FRSH) in 2015.
They launched in June 2021 and was #1 Product of the day on Product Hunt. It has a fast-growing, global customer base, including LinkSquares, AppCues, ContractPodAI, Chargebee, parcelLab, and many more.
Rapid early traction and customer love has catapulted Rocketlane to be recognized as a Leader in the G2 Category of Client Onboarding. They has raised $21M in capital from global VCs such as 8VC, Nexus Venture Partners, Matrix Partners India, and super angels like Gokul Rajaram and Girish Mathrubootham.
We offers a first-of-its-kind collaborative customer onboarding platform that enables businesses to onboard their customers better, faster, and smoother. It helps speed up revenue recognition and grow NRR for the vendor and enables faster time-to-value and a delightful customer
onboarding experience.
Description:
Are you a backend developer looking to fast-track your learning and growth? Have you looked at world class products like Asana, Notion, or Airtable, and felt “I wish I were part of the early team that
built these products”?
At Rocketlane, we’re a team that has previously built and rolled out globally successful SaaS products used by tens of thousands of customers. We’re laser focused on delivering a world class product
again, and looking for an ambitious backend engineer to join our existing team of 9 engineers.
If it excites you to think of a fast-paced start-up environment, building something big from scratch, breaking down new problems, creating new APIs, working on performance issues, getting hands-on
with devops initiatives, and showcasing demos of your work every Friday with a happy and passionate team, then this is the right opportunity for you.Some of the tech problems you get to work-on as a backend engineer would be to build the backendfor a modern spreadsheet experience from scratch, work on infra as code, write robust code that is fault tolerant, work on performant code that adheres to SLOs set by the organization.
About you:
● 2 - 4 years of experience
● Expertise in the following areas
○ Java
○ HTTP Protocol
● You’ve heard of or worked with some of the following tech stacks / products
○ Spring
○ PostgreSQL
○ Redis
○ Docker
○ Message brokers
○ GitHub
● These non-functional areas are familiar to you
○ Performance
○ Debugging
○ Log management
Nice to have:
● Familiarity with AWS
Benefits
Rocketlane genuinely cares about everyone we hire. You’ll learn new things and grow no matter how
experienced you are. If you are eager, check out the MTT(Meet The Team) videos on our LinkedIn.
Benefits of working at Rocketlane include:
● Competitive salary in a fast-growing startup.
● MacBooks are our standard, but we’re happy to get you whatever equipment helps you get
your job done
● Comprehensive health insurance for you and your dependents
● Flexible leave policy so you can take time off when you need it
Paid time off
Job Location: Chennai
Job Summary
The Engineering Org is looking for a proficient Engineering Manager to join a team that is building exciting
and futuristic Data Products at Condé Nast to enable both internal and external marketers to target
audiences in real time. As an Engineering Manager, you will drive the day-to-day execution of technical
and architectural decisions. EM will own engineering deliverables inclusive of solving dependencies
such as architecture, solutions, sequencing, and working with other engineering delivery teams.This role
is also responsible for driving innovation, prototyping, and recommending solutions. Above all, you will
influence how users interact with Conde Nast’s industry-leading journalism.
● Primary Responsibilities
● Manage a high performing team of Software and Data Engineers within the Data & ML
Engineering team part of Engineering Data Organization.
● Provide leadership and guidance to the team in Data Discovery, Data Ingestion, Transformation
and Storage
● Utilizing product mindset to build, scale and deploy holistic data products after successful
prototyping and drive their engineering implementation
● Provide technical coaching and lead direct reports and other members of adjacent support teams
to the highest level of performance..
● Evaluate performance of direct reports and offer career development guidance.
● Meeting hiring and retention targets of the team & building a high-performance culture
● Handle escalations from internal stakeholders and manage critical issues to resolution.
● Collaborate with Architects, Product Manager, Project Manager and other teams to deliver high
quality products.
● Identify recurring system and application issues and enable engineers to work with release teams,
infra teams, product development, vendors and other stakeholders in investigating and resolving
the cause.
● Required Skills
● 4+ years of managing Software Development teams, preferably in ML and Data
Engineering teams.
● 4+ years of Agile Software development practices
● 12+ years of Software Development experience.
● Excellent Problem Solving and System Design skill
● Hands on: Writing and Reviewing code primarily in Spark, Python and/or Java
● Hand on: Architect & Design end to end Data Pipeline (noSQL databases, Job Schedulers, Big
Data Development preferably on Databricks / Cloud)
● Experience with SOA & Microservice architecture
● Knowledge of Software Engineering best practices with experience on implementing CI/CD,
Log aggregation/Monitoring/alerting for production system
● Working Knowledge of cloud and devops skills (AWS will be preferred)
● Strong verbal and written communication skills.
● Experience in evaluating team member performance and offering career development
guidance.
● Experience in providing technical coaching to direct reports.
● Experience in architecting highly scalable products.
● Experience in collaborating with global stakeholder teams.
● Experience in working on highly available production systems.
● Strong knowledge of software release process and release pipeline.
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move to
invest heavily in understanding this data and formed a whole new Data team entirely dedicated to
data processing, engineering, analytics, and visualization. This team helps drive engagement, fuel
process innovation, further content enrichment, and increase market revenue. The Data team
aimed to create a company culture where data was the common language and facilitate an
environment where insights shared in real-time could improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team at
Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and boost
online revenue. We are broadly divided into four groups, Data Intelligence, Data Engineering, Data
Science, and Operations (including Product and Marketing Ops, Client Services) along with Data
Strategy and monetization. The teams built capabilities and products to create data-driven solutions
for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse forms of
self-expression. At Condé Nast, we encourage the imaginative and celebrate the extraordinary. We
are a media company for the future, with a remarkable past. We are Condé Nast, and It Starts Here.
The Role:
You are a Backend Engineer passionate about building world-class mobile and web applications with performant backend and glitch-free experience. You will be part of a team which will be delivering technology that enhances the in-app experience for our users and enables our development teams to build mobile apps easier, faster and more efficient. You will build compelling and engaging applications for Web and Mobile platforms. Employing your experience in latest Nodejs frameworks like Express.js,Hapi.js, Yarn, PM2 and proficiency in Elasticsearch, in building RESTful APIs, in integrating with databases like MongoDB and MySQL/Postgres with discipline in collaboration and pair programming. Our clientele majorly comprises of BFSI companies, so experience in Financial Applications and enterprise data security will be a big-plus.
Responsibilities:
• Contribute to an Agile team to build web and mobile applications, APIs, SDKs and other tools as required
• Collaborate with various teams within IORTA to realize the requirements for the project and Rapidly deliver iterative solutions
• Provide task plans and follow trends in technology and suggest new approaches to application design and development
• Review and evaluate designs for compliance with development guidelines
•. Implement best practices and methods to improve the development process within the
team and organization
Merchify is a one-stop solution for creators to start their merch store for zero investment. Our goal is to empower creators to monetize their content and grow their audience without the need for any upfront investment.
We’re in search of a back-end engineer that specializes in building highly scalable, highly available, reliable, secure, and fault-tolerant systems. As a part of the Core Backend team, you'll be working on some complex and interesting problems. With a lean team like ours, you'll have ample opportunities to work with various aspects of the application and build something meaningful.
What you'll do?
- Work closely with design, product management, and front-end teams to create REST APIs using NestJS
- Write reusable, testable, and efficient code
- Design and implementation of low-latency, high-availability, and performant applications
- Work on the implementation of security and data protection
- Review and optimize the app usage by monitoring key metrics and rectifying the issues proactively
Must haves
- 1+ years of experience in NodeJS-based frameworks like NestJS, and microservices-based architecture is a bonus.
- Understanding of OOPS concepts, persistence, threading, queuing, and caching.
- Thorough knowledge of designing, implementing and scaling relational and document-based databases
- A love for systems and an ability to think through and plan for their life cycles, edge cases, interactions, and failure modes
- First principles thinking, Excellent problem-solving ability
- A good all-rounder with a can-do, startup mentality
Nice to haves
- Experience with ReactJS
- Cloud deployment and scaling experience
Why you should join today?
Merchify wants to make a change for the better in lifelong learning. By joining at the start of the adventure you will have an opportunity to make this your own baby and have fun shaping the future of the industry.
In this role, you will:
As part of a team focused on the preserving the customer experience across the organization, this Analytic Consultant will be responsible for:
- Understand business objectives and provide credible challenge to analysis requirements.
- Verify sound analysis practices and data decisions were leveraged throughout planning and data sourcing phases.
- Conduct in-depth research within complex data environments to identify data integrity issues and propose solutions to improve analysis accuracy.
- Applying critical evaluation to challenge assumptions, formulate a defendable hypothesis, and ensuring high quality analysis results.
- Ensure adherence to data management/ data governance regulations and policies.
- Performing and testing highly complex data analytics for customer remediation.
- Designing analysis projects flow and documentation that is structured for consistency, easy to understand, and to be offered to multiple levels of reviewers, partners, and regulatory agents demonstrating research and analysis completed.
- Investigate and ensure data integrity from multiple sources.
- Ensure data recommended and used is the best “source of truth”.
- Applies knowledge of business, customers, and products to synthesize data to 'form a story' and align information to contrast/compare to industry perspective. Data involved typically very large, structured or unstructured, and from multiple sources.
- Must have a strong attention to detail and be able to meet high quality standards consistently.
- Other duties as assigned by manager.
- Willing to assist on high priority work outside of regular business hours or weekend as needed.
Essential Qualifications:
- Around 5+ years in similar analytics roles
- Bachelors, M.A./M.Sc. College Degree or Higher in applied mathematics, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis.
- Preferred programming knowledge SQL/SAS
- Knowledge of PVSI, Non-Lending, Student Loans, Small Business and Personal Lines and Loans is a plus.
- Strong experience with data integration, database structures and data warehouses.
- Persuasive written and verbal communication skills.
Desired Qualifications:
- Certifications in Data Science, or BI Reporting tools.
- Ability to prioritize work, meet deadlines, achieve goals and work under pressure in a dynamic and complex environment – Soft Skills.
- Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities.
- Ability to research and report on a variety of issues using problem solving skills.
- Ability to act with integrity and a high level of professionalism with all levels of team members and management.
- Ability to make timely and independent judgment decisions while working in a fast-paced and results-driven environment.
- Ability to learn the business aspects quickly, multitask and prioritize between projects.
- Exhibits appropriate sense of urgency in managing responsibilities.
- Ability to accurately process high volumes of work within established deadlines.
- Available to flex schedule periodically based on business need.
- Demonstrate strong negotiation, communication & presentation skills.
- Demonstrates a high degree of reliability, integrity and trustworthiness.
- Takes ownership of assignments and helps drive assignments of the team.
- Dedicated, enthusiastic, driven and performance-oriented; possesses a strong work ethic and good team player.
- Be proactive and get engaged in organizational initiatives.
Key Responsibilities
- Active participation in CMMI Level 5 Ver 2.0 (Services Model) pre-assessment & assessment
- Thorough knowledge in Service Delivery practices in multiple horizontals like Infrastructure, Enterprise Security
- Should start the process definitions, processes, templates, guidelines, and checklists from the scratch to align with the CMMi Level 5 Services Model version 2.0.
- Support for organizational process/workflow definitions
- Contribute/Coordinate process improvement activities.
- Process facilitation for projects/business activities/support functions
- Support for organizational data collection and analysis
- Assistance for organizational tools maintenance
- Promote /Support organizational library (Knowledge Repository)
- Effective/Inspirational trainer for organizational process
Candidate Profile:
- Expert in CMMi Level 5 Services 2.0 model.
- Should have participated as an ATM in at least one CMMi Level 5 Services 2.0 assessment and renewal process
- Experience in methodologies like Agile, Lean, SAFe Agile, Kanban, DevOps projects etc.
- Quality experience in Infra Services and Security services business
- Ability to understand business requirements and to design suitable process.
- Ability to identify gaps/improvement opportunities/risks in existing QMS.
- Knowledge of organizational data collection methods and analysis
- Ability in planning, coordinating, and conducting internal audits.
- Ability in serving business activities/projects as a process facilitator.
- Excellent communications skills
- Excellent MS Office Skills
- Well versed with latest trends in quality assurance and quality control.
Qualifications:
BE/BTech/ME/MTech/MCA/M.Sc./Software Science [Computer Science & Information
Technology Background]
Experience:
2+ to 4 years of relevant experience in react js
Skills:
Knowledge in latest user-facing features using React.js, GraphQL, and CSS-in-JS.
Strong knowledge in HTML5/CSS3, jQuery the DOM, and relevant concepts
Strong Knowledge in REACT JS along with Webpack, Redux, React hooks, Material Kit
React, React Router.
Developing the latest user-facing features using React.js
Designing a modern highly responsive web-based user interface
Should follow the Google JavaScript Style Guide and other relevant best practices Knowledge
of performance testing frameworks including Mocha and Jest.
Must have worked as a part of Agile Teams and DevOps practices such as continuous
Integration tools (e.g. Jenkins), code repository, creating CI/CD pipelines is required.
Looking for a go-getter, an ideal candidate with an entrepreneurial mindset, happy to wear multiple hats and jiggle between tasks.
Responsibilities:
- Day to day activities will include sales pitches, customer onboardings, Whatsapp Bot management, understanding customer pain points & devise quick hacks to resolve, be highly data-centric.
- Establish/Discover b2b strategic partnerships, carry out experiments, and do an analysis of conversions WoW, Customer acquisition cost, and so on.
- Definitely an interesting role to work on, opportunity to collaborate and learn multiple areas of operations and extensive knowledge capital.
Angular 7 with Ionic frame work experience + strong oops concept + experience in PHP




