153 Microsoft Fabric Jobs - Page 6

Data Architect Microsoft Fabric, Snowflake & Modern Data Platforms Location: Hyderabad Employment Type: Full-Time Position Overview: We are seeking a seasoned Data Architect with strong consulting experience to lead the design and delivery of modern data solutions across global clients. This role emphasizes hands-on architecture and engineering using Microsoft Fabric and Snowflake, while also contributing to internal capability development and practice growth. The ideal candidate will bring deep expertise in data modeling, modern data architecture, and data engineering, with a passion for innovation and client impact. Key Responsibilities: Client Delivery & Architecture (75%) Serve as the lead architect for client engagements, designing scalable, secure, and high-performance data solutions using Microsoft Fabric and Snowflake. Apply modern data architecture principles including data lakehouse, ELT/ETL pipelines, and real-time streaming. Collaborate with cross-functional teams (data engineers, analysts, architects) to deliver end-to-end solutions. Translate business requirements into technical strategies with measurable outcomes. Ensure best practices in data governance, quality, and security are embedded in all solutions. Deliver scalable data modeling solutions for various use cases leveraging a modern data platform. Practice & Capability Development (25%) Contribute to the development of reusable assets, accelerators, and reference architectures. Support internal knowledge sharing and mentoring across the India-based consulting team. Stay current with emerging trends in data platforms, AI/ML integration, and cloud-native architectures. Collaborate with global teams to align on delivery standards and innovation initiatives. Qualifications: 10+ years of experience in data architecture and engineering, preferably in a consulting environment. Proven experience with Microsoft Fabric and Snowflake platforms. Strong skills in data modeling, data pipeline development, and performance optimization. Familiarity with Azure Synapse, Azure Data Factory, Power BI, and related Azure services. Excellent communication and stakeholder management skills. Experience working with global delivery teams and agile methodologies. Preferred Certifications: SnowPro Core Certification (preferred but not required) Microsoft Certified: Fabric Analytics Engineer Associate Microsoft Certified: Azure Solutions Architect Expert

Job Description: Data Architect - Azure with MS Fabric Location: Pune/Bangalore/Hyderabad Experience: 12+ Years Role Overview: As a Data Architect specializing in Azure with MS Fabric , you will play a pivotal role in designing and implementing robust data solutions that leverage Microsoft Fabric for cloud-based data management and analytics. Your expertise will guide clients through the complexities of data architecture, ensuring seamless integration with existing systems and optimizing data workflows. You will be responsible for leading projects from inception to completion, providing strategic insights and technical leadership throughout the process. Required Skills and Qualifications: Experience: 14+ years in Data and Analytics, with a minimum of 7-8 years focused on Azure and at least 2 implementations using Microsoft Fabric. Data Architecture Expertise: Proven experience as a Data Architect, particularly in consulting and solution design, with a strong background in cloud data stacks. Technical Proficiency: Extensive knowledge of data modeling, database design, ETL processes, and data governance principles. MS Fabric: Hands-on experience with Microsoft Fabric, including data integration, data pipelines, and analytics capabilities. SQL Skills: Advanced SQL knowledge with experience in writing complex queries, performance tuning, and troubleshooting. Programming Skills: Proficiency in programming languages such as Java, Python, or Scala for building data pipelines. Methodologies: Familiarity with Agile, Scrum, and other project delivery methodologies. Stakeholder Management: Strong experience in managing both internal and external stakeholders effectively. Certifications: Relevant certifications in Azure and Microsoft Fabric will be an advantage. Key Responsibilities: Leadership & Strategy Lead the design and implementation of end-to-end solutions using Microsoft Fabric. Collaborate with business and technical stakeholders to define data strategies. Act as the primary point of contact for all Fabric-related projects and initiatives. Provide mentorship and guidance to junior data engineers, BI developers, and analysts. Architecture & Development Design and manage Lakehouses, Data Warehouses, and Pipelines within Microsoft Fabric. Build scalable data models and visualizations using Power BI (with Fabric Integration). Develop and maintain Dataflows, Notebooks, Spark Jobs, and Synapse Pipelines. Implement best practices in data governance, security, and compliance using Fabrics tools. Project Execution Lead cross-functional teams for successful project delivery. Ensure alignment of architecture with business KPIs and OKRs. Drive adoption of Fabric across business units. Perform code reviews and architectural assessments. Monitoring & Optimization Monitor data pipeline performance, troubleshoot issues, and tune performance. Ensure data quality, availability, and lineage using Microsoft Purview (or native Fabric tooling). Maintain documentation of data models, architecture, and workflows.

Job Title: Data Engineer Microsoft Fabric & Databricks Location: Pune / Remote Experience: 5+ Years Job Type: Full-Time We are looking for a skilled Data Engineer with expertise in Microsoft Fabric and Databricks to support

Job Title: Power BI Developer Experience: 23 Years Location: Bangalore - Indiranagar (Work from Office Only) Employment Type: Full-Time Job Description: We are looking for a Power BI Developer with 23 years of hands-on experience in designing and developing BI reports and dashboards using Power BI. Candidates with experience in Microsoft Fabric will be given preference. Strong communication skills are essential, as the role involves close collaboration with cross-functional teams. Key Responsibilities: Develop, design, and maintain interactive dashboards and reports in Power BI Work closely with stakeholders to gather requirements and translate them into effective data visualizations Optimize data models for performance and usability Implement row-level security and data governance best practices Stay updated with Power BI and MS Fabric capabilities and best practices Requirements: 23 years of hands-on Power BI development experience Familiarity with Power Query, DAX, and data modeling techniques Experience in Microsoft Fabric is a plus Strong analytical and problem-solving skills Excellent verbal and written communication skills Interested candidates kindly share your CV and below details to usha.sundar@adecco.com 1) Present CTC (Fixed + VP) - 2) Expected CTC - 3) No. of years experience - 4) Notice Period - 5) Offer-in hand - 6) Reason of Change - 7) Present Location -

Introduction In this role, youll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology In this role, youll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your role and responsibilities Create Solution Outline and Macro Design to describe end to end product implementation in Data Platforms including, System integration, Data ingestion, Data processing, Serving layer, Design Patterns, Platform Architecture Principles for Data platform Contribute to pre-sales, sales support through RfP responses, Solution Architecture, Planning and Estimation Contribute to reusable components / asset / accelerator development to support capability development Participate in Customer presentations as Platform Architects / Subject Matter Experts on Big Data, Azure Cloud and related technologies Participate in customer PoCs to deliver the outcomes Participate in delivery reviews / product reviews, quality assurance and work as design authority Required education Bachelors Degree Preferred education Masters Degree Required technical and professional expertise Experience in designing of data products providing descriptive, prescriptive, and predictive analytics to end users or other systems Experience in data engineering and architecting data platforms Experience in architecting and implementing Data Platforms Azure Cloud Platform Experience on Azure cloud is mandatory (ADLS Gen 1 / Gen2, Data Factory, Databricks, Synapse Analytics, Azure SQL, Cosmos DB, Event hub, Snowflake), Azure Purview, Microsoft Fabric, Kubernetes, Terraform, Airflow Experience in Big Data stack (Hadoop ecosystem Hive, HBase, Kafka, Spark, Scala PySpark, Python etc.) with Cloudera or Hortonworks Preferred technical and professional experience Experience in architecting complex data platforms on Azure Cloud Platform and On-Prem Experience and exposure to implementation of Data Fabric and Data Mesh concepts and solutions like Microsoft Fabric or Starburst or Denodo or IBM Data Virtualisation or Talend or Tibco Data Fabric Exposure to Data Cataloging and Governance solutions like Collibra, Alation, Watson Knowledge Catalog, dataBricks unity Catalog, Apache Atlas, Snowflake Data Glossary etc

Role & responsibilities Responsibilities: Collaborate with cross-functional teams to understand data requirements. Utilize Fabric Lakehouse for data storage and processing. Design and implement data models and databases using MS Fabric and Azure services. Develop ETL processes using SSIS, Azure Synapse Pipelines, etc. Ensure data quality and governance. Optimize data pipelines for performance and scalability. Requirements: Proficiency in BI tools like Power BI and Tableau. Experience with data integration tools like Azure Data Factory. Expertise in Microsoft Fabric and Azure Cloud Platform. Strong problem-solving and communication skills. Ability to work independently and in a team.

Role & responsibilities Primary Skills : Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Azure SQL DB, Azure Functions, Azure Cosmos DB Secondary Skills : .Net experience, Azure AI skills Preferred candidate profile

Job Summary: We are looking for a seasoned Data Engineer with 58 years of experience, specializing in Microsoft Fabric. The ideal candidate will play a key role in designing, building, and optimizing scalable data pipelines and models. You will work closely with analytics and business teams to drive data integration, ensure quality, and support data-driven decision-making in a modern cloud environment. Key Responsibilities: Design, develop, and optimize end-to-end data pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2). Create and maintain data models , semantic models , and data marts for analytical and reporting purposes. Develop and manage SQL-based ETL processes , integrating various structured and unstructured data sources. Collaborate with BI developers and analysts to develop Power BI datasets, dashboards, and reports. Implement robust data integration solutions across diverse platforms and sources (on-premises, cloud). Ensure data integrity, quality, and governance through automated validation and error handling mechanisms. Work with business stakeholders to understand data requirements and translate them into technical specifications. Optimize data workflows for performance and cost-efficiency in a cloud-first architecture. Provide mentorship and technical guidance to junior data engineers. Required Skills: Strong hands-on experience with Microsoft Fabric , including Dataflows Gen2, Pipelines, and OneLake. Proficiency in Power BI , including building reports, dashboards, and working with semantic models. Solid understanding of data modeling techniques : star schema, snowflake, normalization/denormalization. Deep experience with SQL , stored procedures, and query optimization. Experience in data integration from diverse sources such as APIs, flat files, databases, and streaming data. Knowledge of data governance , lineage , and data catalog capabilities within the Microsoft ecosystem.

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further . This is a world of more possibilities , more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world. Microsoft's Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. Within Azure Data, the Microsoft Fabric platform team builds and maintains the operating system and provides customers a unified data stack to run an entire data estate. The platform provides a unified experience, unified governance, enables a unified business model and a unified architecture. The Microsoft Fabric Platform - Capacity Analytics Team is hiring a Software Engineer II to develop UX experiences for Capacity Analytics. We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served .

Req ID: 326727 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Microsoft Fabric Specialist to join our team in Hyderabad, Telangana (IN-TG), India (IN). Job Description: We are seeking a Mid-Level Microsoft Fabric Support Specialist to join our IT team. The ideal candidate will be responsible for providing technical support, troubleshooting, and ensuring the smooth operation of Microsoft Fabric services. This role requires a deep understanding of Microsoft Fabric, data integration, and analytics solutions, along with strong problem-solving skills. Key Responsibilities: . Provide technical support and troubleshooting for Microsoft Fabric services. . Assist in the implementation, configuration, and maintenance of Microsoft Fabric environments. . Monitor system performance and resolve issues proactively. . Collaborate with cross-functional teams to optimize data workflows and analytics solutions. . Document support procedures, best practices, and troubleshooting steps. . Assist in user training and onboarding for Microsoft Fabric-related tools and applications. . Stay up to date with the latest Microsoft Fabric updates and best practices. Required Qualifications: . 5+ years of experience in IT support, with a focus on Microsoft Fabric or related technologies. . Strong knowledge of Microsoft Fabric, Power BI, Azure Synapse, and data integration tools. . Experience with troubleshooting and resolving issues in a cloud-based environment. . Familiarity with SQL, data pipelines, and ETL processes. . Excellent problem-solving and communication skills. . Ability to work independently and collaboratively in a team environment. Preferred Qualifications: . Microsoft certifications related to Fabric, Azure, or Power BI. . Experience with automation and scripting (PowerShell, Python, etc.). . Understanding of security and compliance considerations in cloud-based data platforms. About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click . If you'd like more information on your EEO rights under the law, please click . For Pay Transparency information, please click.

Excellent communication and interpersonal skills, with the ability to explain technical concepts to non-technical stakeholders. Azure certifications such as Azure Solutions Architect Expert (AZ-30x) or equivalent certifications are preferred. Knowledge of hybrid cloud architecture and migration techniques. Mandatory Skills: Microsoft Fabric Azure Data Factory Azure Synapse Analytics Azure SQL DB Azure Functions Azure Cosmos DB Nice to Have: .NET experience Azure AI skills

Role Responsibilities : - Design and implement data pipelines using MS Fabric. - Develop data models to support business intelligence and analytics. - Manage and optimize ETL processes for data extraction, transformation, and loading. - Collaborate with cross-functional teams to gather and define data requirements. - Ensure data quality and integrity in all data processes. - Implement best practices for data management, storage, and processing. - Conduct performance tuning for data storage and retrieval for enhanced efficiency. - Generate and maintain documentation for data architecture and data flow. - Participate in troubleshooting data-related issues and implement solutions. - Monitor and optimize cloud-based solutions for scalability and resource efficiency. - Evaluate emerging technologies and tools for potential incorporation in projects. - Assist in designing data governance frameworks and policies. - Provide technical guidance and support to junior data engineers. - Participate in code reviews and ensure adherence to coding standards. - Stay updated with industry trends and best practices in data engineering. Qualifications : - 8+ years of experience in data engineering roles. - Strong expertise in MS Fabric and related technologies. - Proficiency in SQL and relational database management systems. - Experience with data warehousing solutions and data modeling. - Hands-on experience in ETL tools and processes. - Knowledge of cloud computing platforms (Azure, AWS, GCP). - Familiarity with Python or similar programming languages. - Ability to communicate complex concepts clearly to non-technical stakeholders. - Experience in implementing data quality measures and data governance. - Strong problem-solving skills and attention to detail. - Ability to work independently in a remote environment. - Experience with data visualization tools is a plus. - Excellent analytical and organizational skills. - Bachelor's degree in Computer Science, Engineering, or related field. - Experience in Agile methodologies and project management.

Role Responsibilities : - Design and implement data pipelines using MS Fabric. - Develop data models to support business intelligence and analytics. - Manage and optimize ETL processes for data extraction, transformation, and loading. - Collaborate with cross-functional teams to gather and define data requirements. - Ensure data quality and integrity in all data processes. - Implement best practices for data management, storage, and processing. - Conduct performance tuning for data storage and retrieval for enhanced efficiency. - Generate and maintain documentation for data architecture and data flow. - Participate in troubleshooting data-related issues and implement solutions. - Monitor and optimize cloud-based solutions for scalability and resource efficiency. - Evaluate emerging technologies and tools for potential incorporation in projects. - Assist in designing data governance frameworks and policies. - Provide technical guidance and support to junior data engineers. - Participate in code reviews and ensure adherence to coding standards. - Stay updated with industry trends and best practices in data engineering. Qualifications : - 8+ years of experience in data engineering roles. - Strong expertise in MS Fabric and related technologies. - Proficiency in SQL and relational database management systems. - Experience with data warehousing solutions and data modeling. - Hands-on experience in ETL tools and processes. - Knowledge of cloud computing platforms (Azure, AWS, GCP). - Familiarity with Python or similar programming languages. - Ability to communicate complex concepts clearly to non-technical stakeholders. - Experience in implementing data quality measures and data governance. - Strong problem-solving skills and attention to detail. - Ability to work independently in a remote environment. - Experience with data visualization tools is a plus. - Excellent analytical and organizational skills. - Bachelor's degree in Computer Science, Engineering, or related field. - Experience in Agile methodologies and project management.

Role Responsibilities : - Design and implement data pipelines using MS Fabric. - Develop data models to support business intelligence and analytics. - Manage and optimize ETL processes for data extraction, transformation, and loading. - Collaborate with cross-functional teams to gather and define data requirements. - Ensure data quality and integrity in all data processes. - Implement best practices for data management, storage, and processing. - Conduct performance tuning for data storage and retrieval for enhanced efficiency. - Generate and maintain documentation for data architecture and data flow. - Participate in troubleshooting data-related issues and implement solutions. - Monitor and optimize cloud-based solutions for scalability and resource efficiency. - Evaluate emerging technologies and tools for potential incorporation in projects. - Assist in designing data governance frameworks and policies. - Provide technical guidance and support to junior data engineers. - Participate in code reviews and ensure adherence to coding standards. - Stay updated with industry trends and best practices in data engineering. Qualifications : - 8+ years of experience in data engineering roles. - Strong expertise in MS Fabric and related technologies. - Proficiency in SQL and relational database management systems. - Experience with data warehousing solutions and data modeling. - Hands-on experience in ETL tools and processes. - Knowledge of cloud computing platforms (Azure, AWS, GCP). - Familiarity with Python or similar programming languages. - Ability to communicate complex concepts clearly to non-technical stakeholders. - Experience in implementing data quality measures and data governance. - Strong problem-solving skills and attention to detail. - Ability to work independently in a remote environment. - Experience with data visualization tools is a plus. - Excellent analytical and organizational skills. - Bachelor's degree in Computer Science, Engineering, or related field. - Experience in Agile methodologies and project management.

Role Responsibilities : - Design and implement data pipelines using MS Fabric. - Develop data models to support business intelligence and analytics. - Manage and optimize ETL processes for data extraction, transformation, and loading. - Collaborate with cross-functional teams to gather and define data requirements. - Ensure data quality and integrity in all data processes. - Implement best practices for data management, storage, and processing. - Conduct performance tuning for data storage and retrieval for enhanced efficiency. - Generate and maintain documentation for data architecture and data flow. - Participate in troubleshooting data-related issues and implement solutions. - Monitor and optimize cloud-based solutions for scalability and resource efficiency. - Evaluate emerging technologies and tools for potential incorporation in projects. - Assist in designing data governance frameworks and policies. - Provide technical guidance and support to junior data engineers. - Participate in code reviews and ensure adherence to coding standards. - Stay updated with industry trends and best practices in data engineering. Qualifications : - 8+ years of experience in data engineering roles. - Strong expertise in MS Fabric and related technologies. - Proficiency in SQL and relational database management systems. - Experience with data warehousing solutions and data modeling. - Hands-on experience in ETL tools and processes. - Knowledge of cloud computing platforms (Azure, AWS, GCP). - Familiarity with Python or similar programming languages. - Ability to communicate complex concepts clearly to non-technical stakeholders. - Experience in implementing data quality measures and data governance. - Strong problem-solving skills and attention to detail. - Ability to work independently in a remote environment. - Experience with data visualization tools is a plus. - Excellent analytical and organizational skills. - Bachelor's degree in Computer Science, Engineering, or related field. - Experience in Agile methodologies and project management.

Company Overview : Zorba Consulting India is a leading consultancy firm focused on delivering innovative solutions and strategies to enhance business performance. With a commitment to excellence, we prioritize collaboration, integrity, and customer-centric values in our operations. Our mission is to empower organizations by transforming data into actionable insights and enabling data-driven decision-making. We are dedicated to fostering a culture of continuous improvement and supporting our team members' professional development. Role Responsibilities : - Design and implement data pipelines using MS Fabric. - Develop data models to support business intelligence and analytics. - Manage and optimize ETL processes for data extraction, transformation, and loading. - Collaborate with cross-functional teams to gather and define data requirements. - Ensure data quality and integrity in all data processes. - Implement best practices for data management, storage, and processing. - Conduct performance tuning for data storage and retrieval for enhanced efficiency. - Generate and maintain documentation for data architecture and data flow. - Participate in troubleshooting data-related issues and implement solutions. - Monitor and optimize cloud-based solutions for scalability and resource efficiency. - Evaluate emerging technologies and tools for potential incorporation in projects. - Assist in designing data governance frameworks and policies. - Provide technical guidance and support to junior data engineers. - Participate in code reviews and ensure adherence to coding standards. - Stay updated with industry trends and best practices in data engineering. Qualifications : - 8+ years of experience in data engineering roles. - Strong expertise in MS Fabric and related technologies. - Proficiency in SQL and relational database management systems. - Experience with data warehousing solutions and data modeling. - Hands-on experience in ETL tools and processes. - Knowledge of cloud computing platforms (Azure, AWS, GCP). - Familiarity with Python or similar programming languages. - Ability to communicate complex concepts clearly to non-technical stakeholders. - Experience in implementing data quality measures and data governance. - Strong problem-solving skills and attention to detail. - Ability to work independently in a remote environment. - Experience with data visualization tools is a plus. - Excellent analytical and organizational skills. - Bachelor's degree in Computer Science, Engineering, or related field. - Experience in Agile methodologies and project management.

Role Responsibilities : - Design and implement data pipelines using MS Fabric. - Develop data models to support business intelligence and analytics. - Manage and optimize ETL processes for data extraction, transformation, and loading. - Collaborate with cross-functional teams to gather and define data requirements. - Ensure data quality and integrity in all data processes. - Implement best practices for data management, storage, and processing. - Conduct performance tuning for data storage and retrieval for enhanced efficiency. - Generate and maintain documentation for data architecture and data flow. - Participate in troubleshooting data-related issues and implement solutions. - Monitor and optimize cloud-based solutions for scalability and resource efficiency. - Evaluate emerging technologies and tools for potential incorporation in projects. - Assist in designing data governance frameworks and policies. - Provide technical guidance and support to junior data engineers. - Participate in code reviews and ensure adherence to coding standards. - Stay updated with industry trends and best practices in data engineering. Qualifications : - 8+ years of experience in data engineering roles. - Strong expertise in MS Fabric and related technologies. - Proficiency in SQL and relational database management systems. - Experience with data warehousing solutions and data modeling. - Hands-on experience in ETL tools and processes. - Knowledge of cloud computing platforms (Azure, AWS, GCP). - Familiarity with Python or similar programming languages. - Ability to communicate complex concepts clearly to non-technical stakeholders. - Experience in implementing data quality measures and data governance. - Strong problem-solving skills and attention to detail. - Ability to work independently in a remote environment. - Experience with data visualization tools is a plus. - Excellent analytical and organizational skills. - Bachelor's degree in Computer Science, Engineering, or related field. - Experience in Agile methodologies and project management.

Role Responsibilities : - Design and implement data pipelines using MS Fabric. - Develop data models to support business intelligence and analytics. - Manage and optimize ETL processes for data extraction, transformation, and loading. - Collaborate with cross-functional teams to gather and define data requirements. - Ensure data quality and integrity in all data processes. - Implement best practices for data management, storage, and processing. - Conduct performance tuning for data storage and retrieval for enhanced efficiency. - Generate and maintain documentation for data architecture and data flow. - Participate in troubleshooting data-related issues and implement solutions. - Monitor and optimize cloud-based solutions for scalability and resource efficiency. - Evaluate emerging technologies and tools for potential incorporation in projects. - Assist in designing data governance frameworks and policies. - Provide technical guidance and support to junior data engineers. - Participate in code reviews and ensure adherence to coding standards. - Stay updated with industry trends and best practices in data engineering. Qualifications : - 8+ years of experience in data engineering roles. - Strong expertise in MS Fabric and related technologies. - Proficiency in SQL and relational database management systems. - Experience with data warehousing solutions and data modeling. - Hands-on experience in ETL tools and processes. - Knowledge of cloud computing platforms (Azure, AWS, GCP). - Familiarity with Python or similar programming languages. - Ability to communicate complex concepts clearly to non-technical stakeholders. - Experience in implementing data quality measures and data governance. - Strong problem-solving skills and attention to detail. - Ability to work independently in a remote environment. - Experience with data visualization tools is a plus. - Excellent analytical and organizational skills. - Bachelor's degree in Computer Science, Engineering, or related field. - Experience in Agile methodologies and project management.

Role Responsibilities : - Design and implement data pipelines using MS Fabric. - Develop data models to support business intelligence and analytics. - Manage and optimize ETL processes for data extraction, transformation, and loading. - Collaborate with cross-functional teams to gather and define data requirements. - Ensure data quality and integrity in all data processes. - Implement best practices for data management, storage, and processing. - Conduct performance tuning for data storage and retrieval for enhanced efficiency. - Generate and maintain documentation for data architecture and data flow. - Participate in troubleshooting data-related issues and implement solutions. - Monitor and optimize cloud-based solutions for scalability and resource efficiency. - Evaluate emerging technologies and tools for potential incorporation in projects. - Assist in designing data governance frameworks and policies. - Provide technical guidance and support to junior data engineers. - Participate in code reviews and ensure adherence to coding standards. - Stay updated with industry trends and best practices in data engineering. Qualifications : - 8+ years of experience in data engineering roles. - Strong expertise in MS Fabric and related technologies. - Proficiency in SQL and relational database management systems. - Experience with data warehousing solutions and data modeling. - Hands-on experience in ETL tools and processes. - Knowledge of cloud computing platforms (Azure, AWS, GCP). - Familiarity with Python or similar programming languages. - Ability to communicate complex concepts clearly to non-technical stakeholders. - Experience in implementing data quality measures and data governance. - Strong problem-solving skills and attention to detail. - Ability to work independently in a remote environment. - Experience with data visualization tools is a plus. - Excellent analytical and organizational skills. - Bachelor's degree in Computer Science, Engineering, or related field. - Experience in Agile methodologies and project management.

We are seeking a skilled and detail-oriented Database and Report Developer with 45 years of experience in designing, developing, and maintaining data solutions and business intelligence reports. The ideal candidate should have hands-on experience with Microsoft Fabric, SAP BusinessObjects (BOBJ), Power BI, and SQL. You will work closely with business stakeholders to understand reporting needs, design ETL/data models, and deliver actionable insights. Key Responsibilities: Develop and maintain reports and dashboards using Power BI, SAP BOBJ, and Microsoft Fabric. Design, optimize, and manage SQL queries, stored procedures, and views for reporting and analytics. Collaborate with data engineers and analysts to build and optimize data models and pipelines. Translate business requirements into technical specifications and reporting solutions. Perform data validation, quality checks, and performance tuning of reports. Work with large data sets across multiple sources to generate insights and trends. Provide support and troubleshooting for reporting tools and dashboards. Maintain data security and access controls across reporting platforms. Document development processes, data flows, and report definitions. Required Skills and Qualifications: 45 years of experience in data reporting and database development. Strong experience with Power BI: DAX, Power Query, report design, data modeling. Proficiency in SAP BusinessObjects (BOBJ): Web Intelligence (WebI), Universe Designer. Hands-on experience with Microsoft Fabric (OneLake, Dataflows, Pipelines) is a plus. Strong command of SQL for data extraction, transformation, and analysis. Experience working with relational databases such as SQL Server, Azure SQL, or Oracle. Familiarity with ETL processes and data warehouse concepts. Ability to communicate effectively with both technical and non-technical stakeholders. Preferred Qualifications: Experience with cloud-based data platforms (e.g., Azure Synapse, Azure Data Factory). Knowledge of performance tuning and best practices in Power BI/BOBJ. Understanding of data governance and data security principles. Education: Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.

Role & Responsibilities Job Description: We are seeking a skilled and experienced Microsoft Fabric Engineer to join data engineering team. The ideal candidate will have a strong background in designing, developing, and maintaining data solutions using Microsoft Fabric, i ncluding experience across key workloads such as Data Engineering, Data Factory, Data Science, Real-Time Analytics, and Power BI. Require deep understanding of Synapse Data Warehouse, OneLake, Notebooks, Lakehouse architecture, and Power BI integration within Microsoft ecosystem. Key Responsibilities: Design, implement scalable and secure data solutions using Microsoft Fabric. Build and maintain Data Pipelines using Dataflows Gen2 and Data Factory. Work with Lakehouse architecture and manage datasets in OneLake. Develop notebooks (PySpark or T-SQL) for data transformation and processing. Collaborate with data analysts to create interactive dashboards, reports using Power BI (within Fabric). Leverage Synapse Data Warehouse and KQL databases for structured real-time analytics. Monitor and optimize performance of data pipelines and queries. Ensure to adhere data quality, security, and governance practices. Stay current with Microsoft Fabric updates and roadmap, recommending enhancements. Required Skills: 3+ years of hands-on experience with Microsoft Fabric or similar tools in the Microsoft data stack. Strong proficiency with: Data Factory (Fabric) Synapse Data Warehouse / SQL Analytics Endpoints Power BI integration and DAX Notebooks (PySpark, T-SQL) Lakehouse and OneLake Understanding of data modeling, ETL/ELT processes, and real-time data streaming. Experience with KQL (Kusto Query Language) is a plus. Familiarity with Microsoft Purview, Azure Data Lake, or Azure Synapse Analytics is advantageous. Qualifications: Microsoft Fabric, Onelake, Data Factory, Data Lake, DataMesh

Role & responsibilities Requirements: Data Modeling (Conceptual, Logical, Physical)- Minimum 5 years Database Technologies (SQL Server, Oracle, PostgreSQL, NoSQL)- Minimum 5 years Cloud Platforms (AWS, Azure, GCP) - Minimum 3 Years ETL Tools (Informatica, Talend, Apache Nifi) - Minimum 3 Years Big Data Technologies (Hadoop, Spark, Kafka) - Minimum 5 Years Data Governance & Compliance (GDPR, HIPAA) - Minimum 3 years Master Data Management (MDM) - Minimum 3 years Data Warehousing (Snowflake, Redshift, BigQuery)- Minimum 3 years API Integration & Data Pipelines - Good to have. Performance Tuning & Optimization - Minimum 3 years business Intelligence (Power BI, Tableau)- Minimum 3 years Job Description: We are seeking experienced Data Architects to design and implement enterprise data solutions, ensuring data governance, quality, and advanced analytics capabilities. The ideal candidate will have expertise in defining data policies, managing metadata, and leading data migrations from legacy systems to Microsoft Fabric/DataBricks/ . Experience and deep knowledge about at least one of these 3 platforms is critical. Additionally, they will play a key role in identifying use cases for advanced analytics and developing machine learning models to drive business insights. Key Responsibilities: 1. Data Governance & Management Establish and maintain a Data Usage Hierarchy to ensure structured data access. Define data policies, standards, and governance frameworks to ensure consistency and compliance. Implement Data Quality Management practices to improve accuracy, completeness, and reliability. Oversee Metadata and Master Data Management (MDM) to enable seamless data integration across platforms. 2. Data Architecture & Migration Lead the migration of data systems from legacy infrastructure to Microsoft Fabric. Design scalable, high-performance data architectures that support business intelligence and analytics. Collaborate with IT and engineering teams to ensure efficient data pipeline development. 3. Advanced Analytics & Machine Learning Identify and define use cases for advanced analytics that align with business objectives. Design and develop machine learning models to drive data-driven decision-making. Work with data scientists to operationalize ML models and ensure real-world applicability. Required Qualifications: Proven experience as a Data Architect or similar role in data management and analytics. Strong knowledge of data governance frameworks, data quality management, and metadata management. Hands-on experience with Microsoft Fabric and data migration from legacy systems. Expertise in advanced analytics, machine learning models, and AI-driven insights. Familiarity with data modelling, ETL processes, and cloud-based data solutions (Azure, AWS, or GCP). Strong communication skills with the ability to translate complex data concepts into business insights. Preferred candidate profile Immediate Joiner

Hi Greetings for the Season !!! We are Hiring for a Data Engineer III associated with a global IT service & IT consulting. KEY DUTIES Work alongside senior team members to define and implement migration strategies. Creation of Data Lakes, migrating SQL Databases to Data Lake and ELT/ETL transformations. Design, construct, install, test and maintain data management systems. Ensure all systems meet business and performance requirements. Create and maintain optimal data pipeline architecture. Assemble large, complex datasets that meet functional and non-functional business requirements. Develop and implement data flows to connect operational systems, data for analytics and BI (Business Intelligence) systems. Design, implement and optimize data models on Azure data platforms. Implement effective metrics and monitoring processes. Drive the collection, cleaning, processing, and analysis of new and existing data sources. Work with data and analytics experts to strive for greater functionality in data systems. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, redesigning infrastructure for greater scalability. Ensure seamless integration with Power BI reports, exposure to Tableau. Other duties as assigned. BASIC QUALIFICATIONS 7+ years of experience in data engineering with a focus on cloud data platforms. Experience with data migrations and CRMs such as Salesforce and MS Dynamics 365 and their corresponding data models. Extensive experience with T-SQL, including query optimization, stored procedures, and performance tuning for efficient data processing. Hands on experience with Azure Data Lake, Azure Data Factory, Azure SQL Database. Updated January 2025 Hands on experience building and optimizing data ingestion, transformation, and processing workflows. Strong understanding of data governance, security, and access controls in an Azure environment. Hands on experience with Power BI and ability to modify DAX Measures and data models to align with data lake integration. Experience with Tableau is an asset. Strong analytical and problem-solving skills to troubleshoot data ingestion and transformation issues. Experience in the creation and maintenance of Disaster Recovery plans. Experience with Index Maintenance. Experience with Microsoft Fabric an asset. The ability to work independently without supervision and with a team effectively

Required Qualification: B.Tech / MCA / Equivalent in Computer Science, IT, or Engineering Primary Skills: Azure Data Factory (ADF) Data pipeline creation, data flow management Power BI Report & dashboard development, DAX, data modeling SQL Strong experience with Azure SQL, SQL Server, query optimization ETL Processes Design and implementation of scalable ETL pipelines Cloud Platforms Microsoft Azure (Azure Data Lake, Azure Blob Storage) Programming Python and SQL for data transformation Data Warehousing Concepts Hands-on understanding of data architecture Performance Tuning Optimize data pipelines for reliability and efficiency Preferred Skills: Azure Databricks Data engineering in distributed environments Microsoft Fabric Exposure to end-to-end analytics platform Data Modeling Best practices in Power BI and enterprise data environments Cloud Ecosystem Knowledge Broader understanding of Azure services What We Need: Educational Background: B.Tech / MCA / Equivalent in Computer Science, Information Technology, or related field 7+ years of hands-on experience in Data Engineering / BI

We are seeking a highly skilled Power BI Expert with over 5 years of experience in business intelligence and data analytics. The ideal candidate will have expertise in Azure, Data Factory, Microsoft Fabric, and Data Warehousing. Required Candidate profile Experience with Power BI, Azure, Data Warehousing, and related technologies Proficiency in DAX, Power Query, SQL, and data visualization best practices Degree in Computer Science, Data Analytic.