Company Description MAF Group is a technology-enabled business solutions provider that offers cloud automation, data analytics, digital transformation and marketing automation services to empower, enrich, and enhance business operations. We aim to help businesses attain operational excellence, achieve their goals, and boost growth. Our team consists of dynamic, efficient, and qualified professionals who work together to deliver flawless solutions and exceptional results to our clients. We take on every project as a challenge and ensure that we deliver our best, every time. Role Description This is a full-time remote role for a Google Analytics Consultant. As a Google Analytics Consultant at MAF Group, you will be responsible for analyzing web traffic data and providing clients with insights to improve their online presence. Daily tasks associated with the role include configuring Google Analytics accounts, creating custom reports, analyzing user data, and providing actionable recommendations for site optimization. Location: Hyderabad Looking for Immediate Joiners/ 15 days. Qualifications: - Who’s good proficiency in using GA4, Google tag manager, Adobe Launch and TEALIUM - Should have expertise in GA4 and Adobe Analytics - Should have experience in implementing third party marketing tags through tag management systems - Knows how to use GA4 and Adobe Analytics to the fullest - Knowledge in optimization Tools - Have good experience in JavaScript - Knowledge in cookies, server side Analytics implementations Show more Show less
Role: Business Intelligence Engineer Experience Level: 4years to 6years Working Mode: Remote Employment Period: 6months Contract (Full Time) ** Not a part time job Job Description : We are looking for a Business Intelligence Enginee r with expertise in Data Warehousing & Architecture. Experience in Web Analytics and Salesforce CRM data is a plus. The ideal candidate will have strong skills in SQL, Python, Microsoft Fabric, Microsoft Azure, and experience in managing data warehouse and data architecture projects to solve complex data challenges. Key Responsibilities : Develop and maintain scalable data architectures. Lead data analytics projects using SQL, Python, Microsoft Fabric, and Microsoft Azure. Manage Google Analytics (GA4 and Universal Analytics) and Adobe Analytics integrations. Design and implement data models and databases. Analyze large datasets to uncover patterns and improve business performance. Ensure data quality and reliability. Work with stakeholders to deliver data-driven solutions. Qualifications : Expertise in Salesforce CRM, Salesforce Marketing Cloud Data, and Google Analytics (GA4). Strong experience in data warehousing in enterprise environment and successful project delivery. Minimum of 2 years’ experience in SQL and Python. Familiarity with Microsoft Fabric and Azure. Strong analytical, problem-solving, and communication skills. Leadership experience and ability to mentor team members. Why Join Us : Work with industry experts. Competitive salary and benefits. Innovative and dynamic work environment. Career growth opportunities. Interested candidates should send their resume and cover letter to vaheda.rahamman@mafgroup.co.uk. We look forward to seeing how you can help drive our success! Show more Show less
Role: Business Intelligence Engineer Experience Level: 4years to 6years Working Mode: Remote Employment Period: 6months Contract (Full Time) ** Not a part time job Job Description : We are looking for a Business Intelligence Enginee r with expertise in Data Warehousing & Architecture. Experience in Web Analytics and Salesforce CRM data is a plus. The ideal candidate will have strong skills in SQL, Python, Microsoft Fabric, Microsoft Azure, and experience in managing data warehouse and data architecture projects to solve complex data challenges. Key Responsibilities : Develop and maintain scalable data architectures. Lead data analytics projects using SQL, Python, Microsoft Fabric, and Microsoft Azure. Manage Google Analytics (GA4 and Universal Analytics) and Adobe Analytics integrations. Design and implement data models and databases. Analyze large datasets to uncover patterns and improve business performance. Ensure data quality and reliability. Work with stakeholders to deliver data-driven solutions. Qualifications : Expertise in Salesforce CRM, Salesforce Marketing Cloud Data, and Google Analytics (GA4). Strong experience in data warehousing in enterprise environment and successful project delivery. Minimum of 2 years’ experience in SQL and Python. Familiarity with Microsoft Fabric and Azure. Strong analytical, problem-solving, and communication skills. Leadership experience and ability to mentor team members. Why Join Us : Work with industry experts. Competitive salary and benefits. Innovative and dynamic work environment. Career growth opportunities. Interested candidates should send their resume and cover letter to vaheda.rahamman@mafgroup.co.uk. We look forward to seeing how you can help drive our success! Show more Show less
Role: Business Intelligence Engineer Experience Level: 4years to 6years Working Mode: Remote Employment Period: 6months Contract (Full Time) ** Not a part time job Job Description : We are looking for a Business Intelligence Enginee r with expertise in Data Warehousing & Architecture. Experience in Web Analytics and Salesforce CRM data is a plus. The ideal candidate will have strong skills in SQL, Python, Microsoft Fabric, Microsoft Azure, and experience in managing data warehouse and data architecture projects to solve complex data challenges. Key Responsibilities : Develop and maintain scalable data architectures. Lead data analytics projects using SQL, Python, Microsoft Fabric, and Microsoft Azure. Manage Google Analytics (GA4 and Universal Analytics) and Adobe Analytics integrations. Design and implement data models and databases. Analyze large datasets to uncover patterns and improve business performance. Ensure data quality and reliability. Work with stakeholders to deliver data-driven solutions. Qualifications : Expertise in Salesforce CRM, Salesforce Marketing Cloud Data, and Google Analytics (GA4). Strong experience in data warehousing in enterprise environment and successful project delivery. Minimum of 2 years’ experience in SQL and Python. Familiarity with Microsoft Fabric and Azure. Strong analytical, problem-solving, and communication skills. Leadership experience and ability to mentor team members. Why Join Us : Work with industry experts. Competitive salary and benefits. Innovative and dynamic work environment. Career growth opportunities. Interested candidates should send their resume and cover letter to vaheda.rahamman@mafgroup.co.uk. We look forward to seeing how you can help drive our success!
Role: Business Intelligence Engineer Experience Level: 4years to 6years Working Mode: Remote Employment Period: 6months Contract (Full Time) ** Not a part time job Job Description : We are looking for a Business Intelligence Enginee r with expertise in Data Warehousing & Architecture. Experience in Web Analytics and Salesforce CRM data is a plus. The ideal candidate will have strong skills in SQL, Python, Microsoft Fabric, Microsoft Azure, and experience in managing data warehouse and data architecture projects to solve complex data challenges. Key Responsibilities : Develop and maintain scalable data architectures. Lead data analytics projects using SQL, Python, Microsoft Fabric, and Microsoft Azure. Manage Google Analytics (GA4 and Universal Analytics) and Adobe Analytics integrations. Design and implement data models and databases. Analyze large datasets to uncover patterns and improve business performance. Ensure data quality and reliability. Work with stakeholders to deliver data-driven solutions. Qualifications : Expertise in Salesforce CRM, Salesforce Marketing Cloud Data, and Google Analytics (GA4). Strong experience in data warehousing in enterprise environment and successful project delivery. Minimum of 2 years’ experience in SQL and Python. Familiarity with Microsoft Fabric and Azure. Strong analytical, problem-solving, and communication skills. Leadership experience and ability to mentor team members. Why Join Us : Work with industry experts. Competitive salary and benefits. Innovative and dynamic work environment. Career growth opportunities. Interested candidates should send their resume and cover letter to vaheda.rahamman@mafgroup.co.uk. We look forward to seeing how you can help drive our success!
Job Title: Cloud & Generative AI Capability Head Location: Remote Employment Type: Full-Time Experience Level: Senior (6+ years) Salary: Open for the right candidate About MAF Group: MAF Group is a dynamic, innovation-driven organization focused on building future-ready digital and technology solutions. We are now scaling our cloud and generative AI capabilities and are looking for a strong leader to head this critical function. Role Overview: We are hiring a Cloud & Generative AI Capability Head to lead our strategic efforts in cloud infrastructure and AI-driven innovation. This role will play a key part in shaping the technology roadmap, driving adoption of generative AI, and building a robust, scalable, and secure cloud foundation across our ecosystem. Key Responsibilities: Define and lead the strategy for cloud adoption and generative AI across the group. Build and manage a high-impact team focused on delivering cloud-based and Gen AI-enabled solutions. Drive implementation of secure, scalable, and cost-efficient cloud platforms (AWS, Azure, or GCP). Explore and implement generative AI models and APIs to solve business challenges. Work closely with the Presales team to develop solution proposals and technical narratives. Participate in client demos, presentations, and discussions to showcase AI capabilities. Collaborate with product, engineering, and business teams to integrate AI into core offerings. Stay ahead of emerging trends in AI and cloud, and assess relevance to business goals. Promote best practices in cloud security, data governance, and AI model management. Requirements: 6+ years of hands-on experience in cloud technologies and AI/ML implementations. Strong understanding of cloud architecture, DevOps, and infrastructure design. Proven experience working with Generative AI tools, models (LLMs), and APIs. Experience working in client-facing roles, including presales or solution consulting. Ability to communicate complex technical ideas clearly to both technical and non-technical audiences. Excellent leadership, communication, and stakeholder engagement skills. Comfortable working in fast-paced, remote, and cross-functional environments.
Job Title: Cloud & Generative AI Capability Head Location: Remote Employment Type: Full-Time Experience Level: Senior (6+ years) Salary: Open for the right candidate About MAF Group: MAF Group is a dynamic, innovation-driven organization focused on building future-ready digital and technology solutions. We are now scaling our cloud and generative AI capabilities and are looking for a strong leader to head this critical function. Role Overview: We are hiring a Cloud & Generative AI Capability Head to lead our strategic efforts in cloud infrastructure and AI-driven innovation. This role will play a key part in shaping the technology roadmap, driving adoption of generative AI, and building a robust, scalable, and secure cloud foundation across our ecosystem. Key Responsibilities Lead cloud and AI strategy across the organization. Build and manage a technical team delivering cloud and AI-based solutions. Participate in presales activities – client discussions, solution design, demos, and proposal preparation. Design and implement scalable, secure, and cost-effective cloud solutions (AWS, Azure, GCP). Lead Generative AI use cases using LLMs, APIs, and AI tools to solve business problems. Work with sales and business teams to create solutions that meet client needs. Stay updated on latest cloud and AI trends and apply them to business use cases. Ensure best practices in cloud security and AI governance . Required Skills & Experience 10+ years of experience in cloud and AI roles, at leadership levels above Architect . Strong hands-on knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML frameworks . Must have experience in presales activities , including client demos, workshops, and proposals . Good exposure to client-facing discussions and understanding of business requirements. Excellent communication skills to interact with clients and internal teams. Experience in leading teams and managing technology delivery .
Job Title: Cloud & Generative AI Capability Head Location: Remote Employment Type: Full-Time Experience Level: Senior (6+ years) Salary: Open for the right candidate About MAF Group: MAF Group is a dynamic, innovation-driven organization focused on building future-ready digital and technology solutions. We are now scaling our cloud and generative AI capabilities and are looking for a strong leader to head this critical function. Role Overview: We are hiring a Cloud & Generative AI Capability Head to lead our strategic efforts in cloud infrastructure and AI-driven innovation. This role will play a key part in shaping the technology roadmap, driving adoption of generative AI, and building a robust, scalable, and secure cloud foundation across our ecosystem. Key Responsibilities: Define and lead the strategy for cloud adoption and generative AI across the group. Build and manage a high-impact team focused on delivering cloud-based and Gen AI-enabled solutions. Drive implementation of secure, scalable, and cost-efficient cloud platforms (AWS, Azure, or GCP). Explore and implement generative AI models and APIs to solve business challenges. Work closely with the Presales team to develop solution proposals and technical narratives. Participate in client demos, presentations, and discussions to showcase AI capabilities. Collaborate with product, engineering, and business teams to integrate AI into core offerings. Stay ahead of emerging trends in AI and cloud, and assess relevance to business goals. Promote best practices in cloud security, data governance, and AI model management. Requirements: 6+ years of hands-on experience in cloud technologies and AI/ML implementations. Strong understanding of cloud architecture, DevOps, and infrastructure design. Proven experience working with Generative AI tools, models (LLMs), and APIs. Experience working in client-facing roles, including presales or solution consulting. Ability to communicate complex technical ideas clearly to both technical and non-technical audiences. Excellent leadership, communication, and stakeholder engagement skills. Comfortable working in fast-paced, remote, and cross-functional environments.
Job Title: Azure QA Engineer Experience Level: 5–8 Years Location: Nagpur or Pune Availability: Immediate Joiners Preferred Position Overview: We are seeking an experienced Azure QA Engineer to validate and ensure the robustness, security, and performance of our end-to-end platform. The role will involve testing across APIs, data ingestion pipelines, backend services, infrastructure components, and Azure services. The ideal candidate will have strong experience in automated testing, API validation, data quality checks, and performance analysis in Azure-based environments. Key Responsibilities: Overall Responsibilities Create and execute comprehensive test plans for all platform components. Automate API and data testing processes. Perform security, performance, and integration testing. Collaborate closely with data engineers, API developers, and stakeholders to execute test cases effectively. Technical Responsibilities Analyze business requirements and platform functionality to create detailed test case documents covering all possible scenarios (platform, infrastructure, data, API, etc.). Conduct API testing using Postman, Swagger, and Azure API Management Portal. Develop data validation scripts using PySpark, Python, and SQL. Integrate test cases into CI/CD pipelines for automated execution. Recommend and implement automated testing tools deployable on Azure Data Platform. Set up automated data quality checks. Perform unit, integration, and performance testing for identified scenarios. Document and present test results to stakeholders, ensuring clarity on test status and outcomes. Collaborate with stakeholders to conduct User Acceptance Testing (UAT). Required Skills & Qualifications: 5–8 years of experience in QA and testing, with at least 2–3 years in Azure-based platforms. Strong proficiency in API testing tools (Postman, Swagger, Azure API Management Portal). Hands-on experience with Python, PySpark, and SQL for test automation and data validation. Experience integrating test cases into CI/CD pipelines. Solid understanding of automated testing frameworks and tools for Azure Data Platform. Strong analytical, problem-solving, and communication skills. Ability to work collaboratively in cross-functional teams. Preferred Skills: Knowledge of Azure DevOps for test management and automation. Experience in performance and security testing. Familiarity with data lake, data warehouse, and big data testing.
Job Title: Azure QA Engineer Experience Level: 5–8 Years Location: Nagpur or Pune Availability: Immediate Joiners Preferred Position Overview: We are seeking an experienced Azure QA Engineer to validate and ensure the robustness, security, and performance of our end-to-end platform. The role will involve testing across APIs, data ingestion pipelines, backend services, infrastructure components, and Azure services. The ideal candidate will have strong experience in automated testing, API validation, data quality checks, and performance analysis in Azure-based environments. Key Responsibilities: Overall Responsibilities Create and execute comprehensive test plans for all platform components. Automate API and data testing processes. Perform security, performance, and integration testing. Collaborate closely with data engineers, API developers, and stakeholders to execute test cases effectively. Technical Responsibilities Analyze business requirements and platform functionality to create detailed test case documents covering all possible scenarios (platform, infrastructure, data, API, etc.). Conduct API testing using Postman, Swagger, and Azure API Management Portal. Develop data validation scripts using PySpark, Python, and SQL. Integrate test cases into CI/CD pipelines for automated execution. Recommend and implement automated testing tools deployable on Azure Data Platform. Set up automated data quality checks. Perform unit, integration, and performance testing for identified scenarios. Document and present test results to stakeholders, ensuring clarity on test status and outcomes. Collaborate with stakeholders to conduct User Acceptance Testing (UAT). Required Skills & Qualifications: 5–8 years of experience in QA and testing, with at least 2–3 years in Azure-based platforms. Strong proficiency in API testing tools (Postman, Swagger, Azure API Management Portal). Hands-on experience with Python, PySpark, and SQL for test automation and data validation. Experience integrating test cases into CI/CD pipelines. Solid understanding of automated testing frameworks and tools for Azure Data Platform. Strong analytical, problem-solving, and communication skills. Ability to work collaboratively in cross-functional teams. Preferred Skills: Knowledge of Azure DevOps for test management and automation. Experience in performance and security testing. Familiarity with data lake, data warehouse, and big data testing.
Job Title: Data Governance Specialist (Azure) Experience Level: 5–8 Years Location: Nagpur or Pune Availability: Immediate Joiners Preferred Position Overview: We are looking for a highly skilled Data Governance Specialist with expertise in Microsoft Purview to design, implement, and manage enterprise-level data governance frameworks. The role will focus on defining governance models, ensuring data quality, and enabling compliance with regulatory standards. The ideal candidate will have hands-on experience in implementing end-to-end governance processes and working closely with stakeholders to ensure consistent and reliable data management across the organization. Key Responsibilities: Overall Responsibilities Define data classification, quality, and ownership models. Implement governance policies using Microsoft Purview . Create golden records through Master Data Management (MDM) processes. Collaborate with stakeholders to recommend and implement governance approaches for all required data sources. Technical Responsibilities Proven experience in implementing end-to-end data governance using Microsoft Purview . Define metadata structures, business glossary, data steward roles, and ownership models. Set up automated data quality checks. Manage cataloging and discoverability of internal and external data assets. Identify and implement critical and key data elements (KDEs). Develop automated data classification and labeling mechanisms in Microsoft Purview. Apply knowledge of data governance lifecycle and frameworks such as DAMA-DMBOK . Ensure compliance with regulatory frameworks including GDPR and ISO 8000 . Required Skills & Qualifications: 5–8 years of experience in data governance, with a minimum of 2–3 years in Microsoft Purview implementation. Strong understanding of data classification, metadata management, and data quality frameworks. Experience with Master Data Management (MDM) concepts and tools. Ability to translate business requirements into effective governance processes. Familiarity with compliance and regulatory requirements (GDPR, ISO 8000). Excellent analytical, communication, and stakeholder management skills. Preferred Skills: Experience working in Azure Data Platform environments. Knowledge of data privacy laws and information security standards. Certification in data governance or Microsoft Purview (advantage).
As an Adobe Analytics Developer at MAF Group, a prominent player in the data-driven business domain, you will play a crucial role in leveraging cutting-edge technologies and data strategies to deliver actionable insights that propel our clients towards success. We prioritize a culture of growth, innovation, and collaboration, providing you with an environment where you can thrive. In this full-time remote position, you will assume the responsibilities of an Adobe Analytics Implementation & Reporting Specialist. Your primary tasks will include setting up the Adobe Analytics framework, deploying tags on web pages and mobile applications, and generating insightful reports through data analysis. To excel in this role, you should possess a minimum of 2 years of hands-on experience with Adobe Analytics. Your expertise should extend to proficiently implementing codes/tags on websites and mobile applications, as well as the ability to derive valuable insights and reports from data analysis. Effective communication skills are paramount, enabling you to collaborate seamlessly with cross-functional teams. While not mandatory, familiarity with other Analytics tools such as Adobe Target and AEP is considered advantageous. Furthermore, a solid foundation in HTML, CSS, JavaScript, and Data Analysis tools will be essential to navigate the technical aspects of the role successfully. An analytical mindset, paired with a keen eye for detail and strong problem-solving abilities, will be key to your success in this position. If you are excited about the prospect of joining our team and believe that your qualifications align with the requirements of this role, we encourage you to submit your resume and a cover letter detailing your specific skills and interest to vaheda.rahamman@mafgroup.co.uk. We are eager to witness how your expertise and innovative contributions can further elevate our continuous success.,
Job Description: Databricks Architect Location: Hyderabad (Hybrid Model) Experience Level: 9+ Years Position Overview We are seeking an experienced Databricks Architect to lead the design, development, and optimization of scalable data solutions on the Databricks Lakehouse Platform . The ideal candidate will have deep expertise in data engineering, cloud platforms, and Databricks ecosystem tools, with a proven ability to deliver enterprise-grade solutions that support advanced analytics and AI/ML use cases. Key Responsibilities Lead the architecture, design, and implementation of end-to-end data solutions on the Databricks Lakehouse Platform. Build, optimize, and manage scalable data pipelines for structured and unstructured data using Apache Spark on Databricks. Define, implement, and enforce data engineering and architectural best practices across teams. Collaborate with data scientists, analysts, and business stakeholders to translate business needs into scalable technical solutions. Architect and implement CI/CD pipelines, automation, and DevOps practices for Databricks workflows. Ensure data governance, security, and compliance across all data platforms and solutions. Provide technical leadership, guidance, and mentorship to data engineering teams. Continuously evaluate and integrate new tools and technologies to enhance platform performance and efficiency. Work with Azure, AWS, or GCP cloud environments integrated with Databricks. Required Skills & Qualifications 9+ years of experience in data engineering and architecture, with a strong focus on Databricks. Hands-on expertise with Apache Spark, Delta Lake, MLflow, and Databricks SQL (DBSQL) . Proven experience in building and managing large-scale ETL/ELT pipelines . Solid understanding of data modeling, data warehousing, and distributed computing frameworks . Strong proficiency in Python, SQL, and Spark-based processing . Experience working on cloud platforms (Azure preferred; AWS or GCP also acceptable). Strong background in DevOps practices (CI/CD, Infrastructure as Code, version control, automation). Excellent communication, leadership, and stakeholder management skills. Good to Have Experience or working knowledge of Microsoft Fabric . Familiarity with Power BI, Synapse Analytics, or other modern BI tools . Relevant certifications such as: Databricks Certified Data Engineer / Architect Microsoft Certified: Azure Solutions Architect