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Job Description – SAP Solution Architect
LOCATION
Delhi (travel readiness outside home residence is important)
EXPERIENCE
12+ years
About the Role:
The SAP Solution Architect is responsible for designing, implementing, and maintaining SAP
solutions that align with business objectives. This role ensures seamless integration of SAP
systems with existing enterprise applications, optimizes performance, and provides strategic
guidance on SAP technologies.
Key Responsibilities
• Solution Design & Architecture
o Develop SAP solution strategies, architectural designs, and implementation plans.
o Analyze current technology infrastructure and align it with business strategy.
o Define and enforce SAP solution standards, procedures, and best practices.
• Implementation & Integration
o Configure and customize SAP modules (e.g., S/4HANA, SAP ERP, SAP Fiori).
o Ensure compatibility of system components and integration with other enterprise
systems.
o Lead testing, debugging, and performance tuning of SAP applications.
• Upgrade Expertise
o Should have knowledge and hands-on experience in SAP upgrades, including
planning, execution, and post-upgrade validation.
• Governance & Compliance
o Conduct regular system audits to ensure compliance with standards and regulations.
o Manage risks related to SAP solutions and ensure adherence to security protocols.
• Collaboration & Leadership
o Work closely with stakeholders, developers, and analysts to meet business
requirements.
o Provide technical leadership and guidance throughout the project lifecycle.
o Design and implement training programs for end-users.
• Continuous Improvement
o Evaluate emerging SAP technologies and recommend adoption strategies.
o Drive system upgrades, enhancements, and optimization initiatives.
Confidential
Required Skills & Qualifications
• Education: Bachelor’s degree in Computer Science, Information Technology, or related field.
• Experience: 10+ years in SAP implementation and architecture; experience with SAP
S/4HANA preferred.
• Technical Skills:
o Expertise in SAP modules and integration tools (SAP PI/PO, SAP Cloud Platform
Integration).
o Knowledge of ABAP, SQL, and system performance tuning.
o Experience in SAP upgrade projects (technical and functional).
• Soft Skills:
o Strong analytical and problem-solving abilities.
o Excellent communication and stakeholder management skills.
o Leadership and team mentoring capabilities.
• Certifications: SAP Certified Solution Architect or SAP Certified Technology Associate
(preferred).
The Hydrologist / Drainage Planning Expert will lead hydrological, hydraulic, and drainage design tasks across infrastructure, transportation, water resources, and urban development projects. The
role involves rainfall-runoff analysis, watershed delineation, hydraulic modelling, flood-risk evaluation, storm water drainage design, and integration of survey and geospatial datasets such as LiDAR, drone imagery, DEMs, and topographic survey data. The candidate will collaborate with multidisciplinary teams and prepare technical reports, drawings, and engineering-ready deliverables.
Key Responsibilities
- Conduct rainfall-runoff analysis using standard hydrological methods.
- Perform catchment delineation, infiltration assessment, and runoff estimation.
- Analyse rainfall, discharge, and historical flood data.
- Develop hydraulic models using HEC-RAS, HEC-HMS, SWMM, or equivalent tools.
- Design storm water drainage systems including channels, culverts, and outfall structures.
- Prepare GL–IL sheets, drainage profiles, and hydraulic gradient calculations.
- Integrate survey datasets such as LiDAR, DEMs, and drone orthomosaics.
- Identify drainage bottlenecks and propose mitigation measures.
- Prepare hydrology reports, calculations, drawings, and GIS layers.
- Coordinate with GIS, CAD, LiDAR, Survey, and engineering teams.
- Conduct field visits for drainage assessment and validation.
Machine Learning (ML)
Python
Amazon Web Services (AWS)Review Criteria:
- Strong MLOps profile
- 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
- 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
- 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
- Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
- Must have hands-on Python for pipeline & automation development
- 4+ years of experience in AWS cloud, with recent companies
- (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth
Preferred:
- Hands-on in Docker deployments for ML workflows on EKS / ECS
- Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
- Experience with CI / CD / CT using GitHub Actions / Jenkins.
- Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
- Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.
Job Specific Criteria:
- CV Attachment is mandatory
- Please provide CTC Breakup (Fixed + Variable)?
- Are you okay for F2F round?
- Have candidate filled the google form?
Role & Responsibilities:
We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.
Key Responsibilities:
- Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
- Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
- Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
- Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
- Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
- Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
- Collaborate with data scientists to productionize notebooks, experiments, and model deployments.
Ideal Candidate:
- 8+ years in MLOps/DevOps with strong ML pipeline experience.
- Strong hands-on experience with AWS:
- Compute/Orchestration: EKS, ECS, EC2, Lambda
- Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
- Workflow: MWAA/Airflow, Step Functions
- Monitoring: CloudWatch, OpenSearch, Grafana
- Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
- Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
- Strong Linux, scripting, and troubleshooting skills.
- Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.
Education:
- Master’s degree in computer science, Machine Learning, Data Engineering, or related field.
NodeJS (Node.js)
React.jsWho we are looking for :
We are looking for a Software Engineering Manager with experience with back-end and/or front-end (MEAN or MERN Stack) teams.
Role and Responsibilities:
- Strong proficiency in Javascript
- Experience on UI framework (Angular, React) and/or knowledge of Node.js and frameworks available for it such as Express, socket.io etc. depending on your technology stack
- Experience in working with teams to integrate APIs
- Translate designs and wireframes into high-quality code
- Building reusable components and libraries for future use
- Optimize application for optimal performance and scalability
- Proficient understanding of code versioning tools, such as Git
- Good with agile development practices such as continuous integration and deployment
- Implementing automated testing platforms and unit tests
Qualifications:
- Minimum BTech/BE or MCA required
- Experience working in a tech lead.
- Excellent communication and organization skills
6-7 Years of experience in building, scaling and leading the Marketing Function at a Product/tech-b2b Co
Experience in working with VC backed start-ups, internet/tech companies, retail companies
Excellent communication and story-telling skills with in-depth knowledge of marketing & branding
Penchant to work hard to strengthen the brand in the initial few years to gain a better work-life balance in future
Role and Responsibilities
1. Own the Acquisition and retention Funnels for the Manufacturer and Retailer
business lines
2. Own growth metrics like CAC and Cost of Retention for the Retailer product
3. Lead the Optimization and Automation of the above funnels in collaboration with the
Product team
4. Formulate & execute ROI driven Marketing strategies for all aspects.
5. Work closely with the Business, Product and Customer Delight Leaders
6. Build the Growth Marketing team from scratch
7. Define processes for the marketing team to ease and optimize intra and inter team
as well as external communications
Build the Marketing Vision
1. Be the voice of the users internally and the voice of brand externally
2. Stay on top of changing trends and strategic priorities through in-depth data
analysis to predict user behavior
3. Gain a deeper understanding of the market and the customer
4. Follow OKR framework religiously and manage implementation at all levels
Nurture the Culture
1. Make the team understand the importance of knowing the users (retailers /
Manufacturers), their behavior & needs, and encourage them to come up with
innovative hacks every time to communicate & engage with the users
2. Sustain innovation and experimentation as part of the Growth process
3. Respect and value user-facing teams and their experience and try to learn as much
as possible from them
4. Impart data-driven decision making habits coupled with intuitive experimentation on
the basis of user understanding
5. Know when to pull the plug and switch to a new initiative as per the need
6. Be quick at decision making and stay highly purpose-driven
Perks
● Work with the Founding team to create one of the MOST Valued B2B companies in
times to come
● Be a pioneer in an emerging and futuristic business space
● Opportunity to create an impact as a C-Suite leader
● Massive learning and execution opportunities at a large scale
● Non-hierarchical, a flat and transparent culture where we also have lots of fun
● Pay at par with market salaries + stock options and a steep growth curve
- As A Customer Sales Associate, You Will Be Responsible For:
1. Educating Customers About The Financial Freedom Application.
2. Educate Customers About The Features & Benefits Of The Financial Freedom Application And Make Customers Subscribe.
3.Should Have Strong Communication, Interpersonal & Convincing Skills.
4. Responsible For All The Phases Of The Sales Process.
Note: - This Is Work From Home Opportunity, And Hence All Eligible Candidates Should Have A Laptop/PC And A Good Internet Connection.
- Candidates Should Also Be Fluent In Both English And Hindi.
- Interview Will Be Scheduled On Zoom, During 11 Am To 3 Pm.
Google AnalyticsBacked by Sequoia Capital, http://www.lambdatest.com/">LambdaTest is the fastest growing cross-browser cloud platform and an online selenium grid that helps users to perform both manual and automated browser compatibility testing. LambdaTest is powering web testing teams for some of the world’s biggest brands, enterprises, and startups in over 130+ countries. We are looking for the brightest minds to join our team!
Requirement:
- You should have a strong grasp of current marketing tools and strategies and be able to lead integrated digital marketing campaigns from concept to execution. Digital marketing managers will work with the marketing team, supporting teams (such as programmers), and vendors to launch campaigns on time and on budget
- Plan and execute all digital marketing, including SEO/SEM, marketing database, email, social media and display advertising campaigns
- Design, build and maintain our social media presence
- Measure and report performance of all digital marketing campaigns, and assess against goals (ROI and KPIs)
- Identify trends and insights, and optimize spend and performance based on the insights
- Brainstorm new and creative growth strategies
- Plan, execute and measure experiments and conversion tests
- Collaborate with internal teams to create landing pages and optimize the user experience
- Utilize the strong analytical ability to evaluate end-to-end customer experience across multiple channels and customer touchpoints Instrument conversion points and optimizes user funnels
- Collaborate with agencies and other vendor partner
- Evaluate emerging technologies. Provide thought leadership and perspective for adoption where appropriate
- Planning digital marketing campaigns, including web, SEO/SEM, email, social media, and display advertising.
- Maintaining our social media presence across all digital channels. Measuring and reporting on the performance of all digital marketing campaigns.
Qualification:
- Proven working experience in digital marketing along with lead generation.
- Highly creative with experience in identifying target audiences and devising digital campaigns that engage, inform and motivate
- Experience in optimizing landing pages and user funnels Experience with A/B and multivariate experiments
- Solid knowledge of website analytics tools (e.g., Google Analytics)
- Working knowledge of ad serving tools.
- Working knowledge of HTML, CSS, and JavaScript development and constraints
- Strong analytical skills and data-driven thinking
- Up-to-date with the latest trends and best practices in online marketing and measurement
- Evaluate emerging technologies. Provide thought leadership and perspective for adoption where appropriate
Data AnalyticsSupporting today’s data driven business world, our client acts as a full-stack data intelligence platform which leverages granular and deep data from various sources, thus helping the decision-makers at the executive level. Their solutions include supply chain optimization, building footprints, track construction hotspots, real estate, and lots more.
Their work embeds geospatial analytics, location intelligence and predictive modelling in the foundations of economic modelling and evaluation theory to build data intelligence layers for their clients which include governments, multilateral institutions, and private organizations.
Headquartered in New Delhi, our client works as a team of economists, data scientists, geo-spatial analysts, etc. Their decision-support system includes Big-Data, predictive modeling, forecasting, socio economic dataset and many more.
As a Senior Manager– Data Intelligence, you will be responsible for contributing to all stages of projects– conceptualizing, preparing work plans, overseeing analytical work, driving teams to meet targets and ensuring quality standards.
What you will do:
- Thoroughly understanding the data processing pipeline and troubleshooting/problem-solving the technical team
- Acting as SPOC for client communications across the portfolio of projects undertaken by the organization
- Contributing to different aspects of organizational growth– team building, process building, strategy and business development
Desired Candidate Profile
What you need to have:- Post-graduate degree in relevant subjects such as Economics/ Engineering/ Quantitative Social Sciences/ Management etc
- At least 5 years of relevant work experience
- Vast experience in managing multiple client projects
- Strong data/quantitative analysis skills are a must
- Prior experience working in data analytics teams
- Credible experience of data platforms & languages in the past
Technical Requirement
- Candidate should have some expertise on Magento 2.X
- Software programming for Magento 2.X to build extensions, widgets, custom integrations
- Strong understanding of the Magento 2.X System Architecture, Design, Theming, Functionality, Enhancements, Configuration.
- Create and customize Magento 2.X themes including templates, layouts, CSS, Javascript, and other components of the front end of a Magento 2.X site
- Uses the Admin Panel to implement design-related system configuration and modify the appearance of specific pages (for instance, CMS, categories, and products)
- Use Business Processes in Magento 2.X such as Structure of catalog, indexes, promotions, price generation logic, Architecture of checkout, payment/shipment methods, sales/order processing
- Good knowledge of MVC/PHP/Ajax. Jquery, Json
Google Analytics- Complete responsibility of Google Ads, Linkedin Ads, Facebook ads.
- End to end campaign management (From forecasting to executing, monitoring, evaluating and optimizing campaign performance to generate maximum leads) ·
- Conduct keyword research and optimize campaigns. ·
- Research and analyze competitor advertising links and strategize the best plan ahead for the business.
- Optimize the ad copy, landing pages for the best lead quality.
- Optimize the campaigns regularly for improving performance.
- Identify trends and insights and optimize spend and performance based on the insights.
- Measure and report performance of all marketing campaigns, and assess against goals.
- Brainstorm new and creative growth strategies.
- Build on an existing level of search engine marketing expertise and develop a reputation for innovation and efficiency.
- Stay up-to-date with industry trends and developments in search engine marketing, digital marketing as well as consumer behaviour and recommend improvements.
Skills Required: · Proven 2+ years SEM experience in managing PPC campaigns across Google, well-versed in performance marketing, conversion, and online customer acquisition. ·
The Specialist will also portray a passion and exceptional analytical skills and demonstrate fluency in the acquisition of metrics, being able to evaluate and orchestrate large campaigns spanning numerous marketing channels.
Should have a good understanding of Google Analytics, Google Tag Manager.
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