Azure data factory, Azure Databricks, SQL, Pyspark, Python, Synapse
Cybersecurity expert skilled in Microsoft Defender, CrowdStrike, Intune, Entra ID, QRadar, PowerShell, and Python. Experienced in Zero Trust, PAM (CyberArk), and hybrid/cloud environments. Certified in CISSP, CEH, CCFA, and Microsoft SOA.
Backend - ASP.net MVC(Strong), C# (Strong), Integration with Azure MFA Authentication, Azure API integration, Azure BLOB storage, Azure DevOps, Git, Tortoise Git, SQL Server (Strong), Azure App Service
Min 6 - 8 years of proven experience in Full Stack Developer. React js , Node js , Html,css, Javascript.
We’re hiring an Azure Data Architect with 10+ years of experience in designing end-to-end data solutions using ADF, Synapse, Databricks, Data Lake, and Python/SQL.
A seasoned data professional with 5+ years in data governance, stewardship, and DAMA DMBoK practices. Strong SQL, metadata management, regulatory compliance (e.g., GDPR) stakeholder engagement skills required. CDMP certification is a plus!
Adf , Databricks, Python, Pyspark, SQL, Azure Devops, Azure Synapse
SAP EWM Consultant with 8+ years’ experience in S/4HANA decentralized EWM, strong in warehouse processes, 3PL integration, custom development, and agile delivery. DM profile on moni.vishwakarma@techcarrot.ae
Role Overview: We are looking for a highly skilled SAP EWM FunctionalConsultant to join our team on a contract basis. The ideal candidate will playa key role in leading SAP EWM implementations, system enhancements, and ongoingsupport for global logistics operations. This is a critical role requiring deepdomain expertise, solution ownership, and proactive collaboration withcross-functional teams. Key Responsibilities: Lead end-to-end SAP EWM implementations, rollouts, and support activities. Analyze business requirements and design scalable, client-aligned SAP EWM solutions. Configure SAP EWM components including inbound/outbound processing, warehouse layout, RF framework, and internal logistics flows. Collaborate closely with logistics, supply chain, and technical stakeholders to optimize warehouse operations. Drive and conduct workshops, user training, and knowledge transfer sessions. Ensure timely and high-quality delivery of solutions within defined scope and milestones. Prepare and review functional specifications, design documents, and process flows. Required Skills & Experience: Minimum 8 years of hands-on SAP EWM experience with at least 2 full-cycle implementations on S/4HANA decentralized EWM. Strong configuration expertise in RF framework, warehouse structure, inbound/outbound processes, and ECC/S/4HANA integration. Deep understanding of logistics and warehouse operations, including kitting, Value-Added Services (VAS), packing, slotting, and cartonization. Experience integrating SAP EWM with 3PL systems and third-party warehouse operations. Proven experience in custom EWM development tailored to business requirements. Proficiency in ALE/IDoc interfaces and SAP system integration scenarios. Hands-on experience with cutover planning, execution, and post-go-live support. Knowledge of SAP Yard Logistics (YL) is highly desirable. Techno-functional skills related to custom developments and enhancements within EWM are a strong plus. Excellent documentation, solution design, and communication skills. Strong stakeholder management abilities and the capability to work independently in a fast-paced, agile environment.
Kindly share resume to parul.sharma@techcarrot.ae SAP EWM experience with at least 2 implem on S4HANA decentralized EWM.configuration expertise in RF framework, warehouse structure, inbound/outbound processes, and ECC/S/4HANA integration
Asa DataEngineer in our team, you will be responsible for assessing complexnew data sources and quickly turning these into business insights. You alsowill support the implementation and integration of these new data sources intoour Azure Data platform. Responsibilities: Youare detailed reviewing and analyzing structured, semi-structured andunstructured data sources for quality, completeness, and business value. Youdesign, architect, implement and test rapid prototypes that demonstrate valueof the data and present them to diverse audiences. Youparticipate in early state design and feature definition activities. Responsiblefor implementing robust data pipeline using Microsoft, Databricks Stack Responsiblefor creating reusable and scalable data pipelines. Youare a Team-Player, collaborating with team members across multiple engineeringteams to support the integration of proven prototypes into core intelligenceproducts. You have strong communication skills to effectivelyconvey complex data insights to non-technical stakeholders. Skills: Advancedworking knowledge and experience with relational and non-relational databases. Advancedworking knowledge and experience with API data providers Experience buildingand optimizing Big Data pipelines, architectures, and datasets. Strong analyticskills related to working with structured and unstructured datasets. Hands-on experiencein Azure Databricks utilizing Spark to develop ETL pipelines. Strong proficiency indata analysis, manipulation, and statistical modeling using tools like Spark,Python, Scala, SQL, or similar languages. Strongexperience in Azure Data Lake Storage Gen2, Azure Data Factory, Databricks, EventHub, Azure Synapse. Familiaritywith several of the following technologies: Event Hub, Docker, Azure KubernetesService, Azure DWH, API Azure, Azure Function, Power BI, Azure Cognitive Services. AzureDevOps experience to deploy the data pipelines through CI/CD. Qualifications andExperience: Minimum5-7 years of practical experience as Data Engineer. Bachelor degree in computer science, software engineering, information technology, or a related field. Azure cloud stackin-production experience.
Data Engineer inour team, you will be responsible for assessing complex new data sources andquickly turning these into business insights. You also will support theimplementation and integration of these new data sources into our Azure Data platform. Responsibilities: Collectprogress updates from Squad on a regular basis. Consolidateupdates into weekly project status reports and share with the Squad Leads fortheir review. Youparticipate in early state design and feature definition activities. Responsiblefor implementing robust data pipeline using Microsoft, Databricks Stack Responsiblefor creating reusable and scalable data pipelines. Youare a Team-Player, collaborating with team members across multiple engineeringteams to support the integration of proven prototypes into core intelligenceproducts. You have strong communication skills to effectivelyconvey complex data insights to non-technical stakeholders. Develop and manageL3-level project plans with sufficient details for tasks, milestones, anddependencies Skills: Knowledgeand experience with relational and non-relational databases. Strong analyticskills related to working with structured and unstructured datasets. Hands-on experiencein Azure Databricks utilizing Spark to develop ETL pipelines. Strong proficiency indata analysis, manipulation, and statistical modeling using tools like Spark,Python, Scala, SQL, or similar languages. Strong proficiency inbuilding JIRA dashboards based on tasks. Strongexperience in Project Management will be considered as an additional advantage. AzureDevOps experience to deploy the data pipelines through CI/CD. Qualifications andExperience: Minimum5-7 years of practical experience. Bachelor degree in computer science, software engineering, information technology, or a related field. Azure cloud stackin-production experience.
Strong experience into Project Management, Project Coordination, people management, Data Analytics, Project Planning, Stakeholder management Develop and manage L3-level project plans with sufficient details for tasks, milestones, and dependencies.
Youare detailed reviewing and analyzing structured, semi-structured andunstructured data sources for quality, completeness and business value. Youdesign, architect, implement and test rapid prototypes that demonstrate valueof the data and present them to diverse audiences. Youparticipate in early state design and feature definition activities. Responsiblefor implementing robust data pipeline using Microsoft ,Databricks Stack Responsiblefor creating reusable and scalable data pipelines Youare a Team-Player, collaborating with team members across multiple engineeringteams to support the integration of proven prototypes into core intelligenceproducts. Skills: Advancedworking knowledge and experience with relational and non-relational databases Experiencebuilding and optimizing Azure Data data pipelines, architectures and data sets Stronganalytic skills related to working with unstructured datasets Strongexperience in Azure Data factory, Databricks, Eventhub, Python,PySpark , Azure Synapseand SQL, Azure Devops AzureDevops experience to deploy the ADF pipelines. Createend to end Azure d
Proficiency with Javascript, HTML5, CSS,Javascript, jQuery/Bootstrap and JSON Must have an excellent knowledge of React. Proficient understanding of cross-browsercompatibility issues. Good understanding of AJAX and Javascript DOM Design and build advanced, scalableapplications on azure. Ability to understand business requirements andmap to latest azure features. A good understanding of how Azure DevOps worksand maintain code repositories from the same. Should be able to act as a consultant to teammembers on technical matters. Work with the product and design teams tounderstand end-user requirements and use cases and translate them pragmatic andeffective technical solutions. Integrate with other our backend services(JSON, XML, etc.). Continuously discover, evaluate, and implementnew technologies to maximize development efficiency. Unit-test code for robustness, including edgecases, usability, and general reliability. Ability to read code done by any developer andupdating that code. Requirements Skills At minimum of 5 - 7 years ofexperience in frontend development. Knowledge on consuming REST APIs 5+ years of experience in building responsivewebsite using HTML, CSS, Javascript, jQuery/Bootstrap and JSON. Proficient with Javascript framework such asAngular or React, preferably REACT experience with Redux. Familiarity with server-side technologies likenode.js Experience in SQL Server TSQL and Adminknowledge Implementation experience in Azure landscape Working and integration with Azure and on-premisecomponents. Good understanding of the development lifecycle. Working knowledge of the general mobile landscape, architectures,trends, and emerging technologies. Experience in working with third-partylibraries and APIs, specifically eCommerce APIs. Good to have experience on implementation ofheadless eCommerce websites. Kibo eCommerce platform knowledge is plus. Good contributions in Github or Azure Devops ispreferred. Excellent communicator (written and verbal,formal and informal).
Youare detailed reviewing and analyzing structured, semi-structured andunstructured data sources for quality, completeness, and business value. Y oudesign, architect, implement and test rapid prototypes that demonstrate valueof the data and present them to diverse audiences. Youparticipate in early state design and feature definition activities. Responsiblefor implementing robust data pipeline using Microsoft, Databricks Stack Responsiblefor creating reusable and scalable data pipelines. Youare a Team-Player, collaborating with team members across multiple engineeringteams to support the integration of proven prototypes into core intelligenceproducts. You have strong communication skills to effectivelyconvey complex data insights to non-technical stakeholders.
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