Lead - Growth and Client Servicing

Strong performance marketer profile

Mandatory (Experience 1): Must have 4+ years of experience in performance marketing

Mandatory (Team Lead): Must have atleast 1+ years of experience in a managerial role

Mandatory (Tech Skills): Must have strong hands-on expertise in any of Google Ads, Meta Ads, LinkedIn Ads

Mandatory (Tech Skills): Must have proven experience managing large monthly ad budgets

Mandatory (Tech Skills): Must have an understanding of attribution models, funnels, and CRM-based tracking

Mandatory (Tech Skills): Must be proficient in advanced Excel/Google Sheets

Mandatory(Company): Product companies (Fintech, Startups preferred)

Job Title : AI Consulting Lead (Principal)

Experience : 8 to 12+ Years

Location : Mumbai (Andheri West)

Work Mode : On-site

Employment Type : Full-time Opportunity

Role Overview :

We are looking for an experienced AI Consulting Lead to drive enterprise AI transformation initiatives.

The role involves working closely with CXOs to convert AI ambitions into ROI-driven programs, designing scalable AI solutions, and leading end-to-end delivery of transformation projects.

Mandatory Skills :

AI Strategy, Generative AI, LLMs, RAG, Agentic AI, Enterprise AI Transformation, Program Delivery, Stakeholder Management, Digital Transformation, Consulting.

Key Responsibilities :

• Engage with senior stakeholders to identify AI-led business transformation opportunities.
• Design and manage large-scale consulting programs including scope, pricing, and governance.
• Collaborate with AI architects to implement agentic AI solutions (LLMs, RAG, AI agents, automation).
• Lead 6–8 week pilot deployments and scale successful use cases across business functions.
• Manage client relationships, program delivery, and account growth.
• Develop reusable consulting frameworks, playbooks, and transformation standards.

Requirements :

• 8 to 12+ years of experience in management consulting, digital transformation, or technology consulting.
• Proven experience leading enterprise transformation programs.
• Strong understanding of LLMs, AI agents, RAG architectures, and enterprise AI platforms.
• Excellent stakeholder management and CXO-level communication skills.

Nice to Have :

• Experience with LangChain, AutoGen, CrewAI, or Vector Databases.
• Domain exposure in HR, Finance, Manufacturing, or Supply Chain.

About Us:

CLOUDSUFI, a Google Cloud Premier Partner, is a global leading provider of data-driven digital transformation across cloud-based enterprises. With a global presence and focus on Software & Platforms, Life sciences and Healthcare, Retail, CPG, financial services, and supply chain, CLOUDSUFI is positioned to meet customers where they are in their data monetization journey.

Job Summary:

We are seeking a highly skilled and motivated Data Engineer to join our Development POD for the Integration Project. The ideal candidate will be responsible for designing, building, and maintaining robust data pipelines to ingest, clean, transform, and integrate diverse public datasets into our knowledge graph. This role requires a strong understanding of Cloud Platform (GCP) services, data engineering best practices, and a commitment to data quality and scalability.

Key Responsibilities:

• ETL Development: Design, develop, and optimize data ingestion, cleaning, and transformation pipelines for various data sources (e.g., CSV, API, XLS, JSON, SDMX) using Cloud Platform services (Cloud Run, Dataflow) and Python.
• Schema Mapping & Modeling: Work with LLM-based auto-schematization tools to map source data to our schema.org vocabulary, defining appropriate Statistical Variables (SVs) and generating MCF/TMCF files.
• Entity Resolution & ID Generation: Implement processes for accurately matching new entities with existing IDs or generating unique, standardized IDs for new entities.
• Knowledge Graph Integration: Integrate transformed data into the Knowledge Graph, ensuring proper versioning and adherence to existing standards. 
• API Development: Develop and enhance REST and SPARQL APIs via Apigee to enable efficient access to integrated data for internal and external stakeholders.
• Data Validation & Quality Assurance: Implement comprehensive data validation and quality checks (statistical, schema, anomaly detection) to ensure data integrity, accuracy, and freshness. Troubleshoot and resolve data import errors.
• Automation & Optimization: Collaborate with the Automation POD to leverage and integrate intelligent assets for data identification, profiling, cleaning, schema mapping, and validation, aiming for significant reduction in manual effort.
• Collaboration: Work closely with cross-functional teams, including Managed Service POD, Automation POD, and relevant stakeholders.
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Qualifications and Skills:

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• Education: Bachelor's or Master's degree in Computer Science, Data Engineering, Information Technology, or a related quantitative field.
• Experience: 3+ years of proven experience as a Data Engineer, with a strong portfolio of successfully implemented data pipelines.
• Programming Languages: Proficiency in Python for data manipulation, scripting, and pipeline development.
• Cloud Platforms and Tools: Expertise in Google Cloud Platform (GCP) services, including Cloud Storage, Cloud SQL, Cloud Run, Dataflow, Pub/Sub, BigQuery, and Apigee. Proficiency with Git-based version control.

Core Competencies:

• Must Have - SQL, Python, BigQuery, (GCP DataFlow / Apache Beam), Google Cloud Storage (GCS)
• Must Have - Proven ability in comprehensive data wrangling, cleaning, and transforming complex datasets from various formats (e.g., API, CSV, XLS, JSON)
• Secondary Skills - SPARQL, Schema.org, Apigee, CI/CD (Cloud Build), GCP, Cloud Data Fusion, Data Modelling
• Solid understanding of data modeling, schema design, and knowledge graph concepts (e.g., Schema.org, RDF, SPARQL, JSON-LD).
• Experience with data validation techniques and tools.
• Familiarity with CI/CD practices and the ability to work in an Agile framework.
• Strong problem-solving skills and keen attention to detail.

Preferred Qualifications:

• Experience with LLM-based tools or concepts for data automation (e.g., auto-schematization).
• Familiarity with similar large-scale public dataset integration initiatives.
• Experience with multilingual data integration.

Required Qualifications:

• 5+ years of professional software development experience.
• Post-secondary degree in computer science, software engineering or related discipline, or equivalent working experience.
• Development of distributed applications with Microsoft technologies: C# .NET/Core, SQL Server, Entity Framework.
• Deep expertise with microservices architectures and design patterns.
• Cloud Native AWS experience with services such as Lambda, SQS, RDS/Aurora, S3, Lex, and Polly.
• Mastery of both Windows and Linux environments and their use in the development and management of complex distributed systems architectures.
• Git source code repository and continuous integration tools.

Manual Tester with Airlines Cargo domain experience

•       Experience: 5–12 Years

•       Locations: Chennai, Bangalore, Trivandrum, Cochin

•       Notice Period: Immediate to <30 days

Skillset and Responsibilities of Agile QA

Skillset:

• Experienced test analyst or consultant with 6-10 years of experience in software testing

• Robust knowledge and prior experience in Airline Cargo domain

• Prior work experience in Agile scrum or SAFe 

• Experience in requirement understanding and user story grooming 

• Ability to understand the functionality of the application under test

• Testing Tools: Microfocus ALM, JIRA, ReadyAPI, Enterprise Architect

• Prior experience in backend service testing with ReadyAPI or Postman, API debugging/root cause analysis

• Working knowledge of microservice architecture and cloud database

• Working knowledge of CI/CD pipeline (GIT etc)

• Working experience in defect management process and tools 

• Working knowledge or experience in automation tools (Cypress, Selenium) will be nice to have

 Responsibilities:

 • Define the functional and technical approach to the implementation of the tests

• Help estimate the scope and size of the testing effort for each user story/product backlog within the PI Planning

• Analyze user stories and design/develop Test Models and Test cases

• Review test model and test cases with BA / Product Owner

• Develop backend test suites in readyAPI for user story testing 

• Identify frontend regression test cases and handover to TA team for automation

• Develop and maintain automated test suites for microservices 

• Execute automated backend regression test suites in pipeline for iterations and PROD releases

• Analyze of test results, defect logging and retest

• Work closely with developers to assess and advise on testability

• Test throughout the sprint

• Work collaboratively and productively with the product owner /Business owner and the customer to form acceptance criteria, Help to define definition of done (DoD)

• Present tested feature within iteration reviews and system demos 

• Attend and actively participate in PI Plannings  

• Participate all sprint planning , pre- and post sprint release ceremonies

• Meet with developers and BAs for short hand-off demonstrations and share the iteration demos with the devs 

• Attend sprint retrospectives and ART retrospectives 

• Help in Determining and advising which tests should be automated at which layer

• Help the developers or the TA team in writing automated tests and analyze the results of the automated tests

1. As a part of ISA ERP development team Develop, test and implement scalable, maintainable, well documented, high-quality MVC / Web Application for Manufacturing or service industry.

2. The individual should have a good understanding of the Microsoft .NET Platform and MS SQL server and Stored procedures

3. Ensure adherence to standards of best engineering practice (code reviews, source code management, unit testing, etc.)

4. Help junior members in the team to get them up to speed and train them in coding practices.

You should have in-depth knowledge of object-oriented PHP programming and MySQL, an understanding of MVC designs specifically Code Igniter, JSON, JavaScript, and working knowledge of front-end technologies including HTML5, JavaScript, and CSS3.

Roles and Responsibilities:

- Development and maintenance of Web applications in Code igniter framework.

- DB Schema designing

- UI Designing

- Web services/API endpoint implementation

- Development of back-end process

- UML designing

- Strong in SQL Queries

Company Brief- Bangalore -

NowApps Technologies Pvt Ltd. (http://www.nowappstech.com/index.php) is a company focused exclusively on providing solutions for extended enterprises Our aim is to build a platform that creates more wealth for every stakeholder who directly or indirectly participates in the upstream and downstream supply chain process. We envisage a world wherein every business that operates through channel partners - irrespective of small, medium, or large - can get connected and work on a single platform to provide a unified experience to its customers. For additional information, visit channelkonnect.com.

Share your Cv with below email

operations at nowappstech.com

Mandatory Skills: Exp in anyone MNC framework (Laravel/Codeigniter/CakePHP)

Roles and Responsibilities:

1. As a PHP Developer, you will be responsible for developing and coding all server-side logic using the CakePHP framework.
2. Writing back-end code and building efficient PHP modules.
3. Understand existing software products and contribute towards improving it.

• 5+ years of experience in a Data Engineering role on cloud environment

• Must have good experience in Scala/PySpark (preferably on data-bricks environment)

• Extensive experience with Transact-SQL.
• Experience in Data-bricks/Spark.

• Strong experience in Dataware house projects
• Expertise in database development projects with ETL processes.
• Manage and maintain data engineering pipelines

• Develop batch processing, streaming and integration solutions
• Experienced in building and operationalizing large-scale enterprise data solutions and applications

• Using one or more of Azure data and analytics services in combination with custom solutions
• Azure Data Lake, Azure SQL DW (Synapse), and SQL Database products or equivalent products from other cloud services providers

• In-depth understanding of data management (e. g. permissions, security, and monitoring).
• Cloud repositories for e.g. Azure GitHub, Git
• Experience in an agile environment (Prefer Azure DevOps).

Good to have

• Manage source data access security
• Automate Azure Data Factory pipelines
• Continuous Integration/Continuous deployment (CICD) pipelines, Source Repositories
• Experience in implementing and maintaining CICD pipelines
• Power BI understanding, Delta Lake house architecture
• Knowledge of software development best practices.
• Excellent analytical and organization skills.
• Effective working in a team as well as working independently.
• Strong written and verbal communication skills.
• Expertise in database development projects and ETL processes.