156 Microsoft Fabric Jobs - Page 7

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.

5+ years of experience in business intelligence and data analytics. Highly skilled Powerbi Expert in Data Management . Required Candidate profile Strong background in Azure, Data Factory, Microsoft Fabric,and Data Warehousing, enabling create robust data pipelines and effective data visualizations, n DAX, Power Query (M langue) decision maker.

Develop and maintain scalable data pipelines. Collaborate with data scientists and analysts to support business needs. Work with cloud platforms like AWS, Azure, or Google Cloud. Effectively working with cross-functional teams. Data Modelling.

Job Summary: As a Solution Architect , you will collaborate with our sales, presales and COE teams to provide technical expertise and support throughout the new business acquisition process. You will play a crucial role in understanding customer requirements, presenting our solutions, and demonstrating the value of our products. You thrive in high-pressure environments, maintaining a positive outlook and understanding that career growth is a journey that requires making strategic choices. You possess good communication skills, both written and verbal, enabling you to convey complex technical concepts clearly and effectively. You are a team player, customer-focused, self-motivated, responsible individual who can work under pressure with a positive attitude. You must have experience in managing and handling RFPs/ RFIs, client demos and presentations, and converting opportunities into winning bids. You possess a strong work ethic, positive attitude, and enthusiasm to embrace new challenges. You can multi-task and prioritize (good time management skills), willing to display and learn. You should be able to work independently with less or no supervision. You should be process-oriented, have a methodical approach and demonstrate a quality-first approach. Ability to convert clients business challenges/ priorities into winning proposal/ bid through excellence in technical solution will be the key performance indicator for this role. What youll do Architecture & Design: Develop high-level architecture designs for scalable, secure, and robust solutions. Technology Evaluation: Select appropriate technologies, frameworks, and platforms for business needs. Cloud & Infrastructure: Design cloud-native, hybrid, or on-premises solutions using AWS, Azure, or GCP. Integration: Ensure seamless integration between various enterprise applications, APIs, and third-party services. Design and develop scalable, secure, and performant data architectures on Microsoft Azure and/or new generation analytics platform like MS Fabric. Translate business needs into technical solutions by designing secure, scalable, and performant data architectures on cloud platforms. Select and recommend appropriate Data services (e.g. Fabric, Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, Power BI etc) to meet specific data storage, processing, and analytics needs. Develop and recommend data models that optimize data access and querying. Design and implement data pipelines for efficient data extraction, transformation, and loading (ETL/ELT) processes. Ability to understand Conceptual/Logical/Physical Data Modelling. Choose and implement appropriate data storage, processing, and analytics services based on specific data needs (e.g., data lakes, data warehouses, data pipelines). Understand and recommend data governance practices, including data lineage tracking, access control, and data quality monitoring. What you will Bring 10+ years of working in data analytics and AI technologies from consulting, implementation and design perspectives Certifications in data engineering, analytics, cloud, AI will be a certain advantage Bachelor’s in engineering/ technology or an MCA from a reputed college is a must Prior experience of working as a solution architect during presales cycle will be an advantage Soft Skills Communication Skills Presentation Skills Flexible and Hard-working Technical Skills Knowledge of Presales Processes Basic understanding of business analytics and AI High IQ and EQ Why join us? Work with a passionate and innovative team in a fast-paced, growth-oriented environment. Gain hands-on experience in content marketing with exposure to real-world projects. Opportunity to learn from experienced professionals and enhance your marketing skills. Contribute to exciting initiatives and make an impact from day one. Competitive stipend and potential for growth within the company. Recognized for excellence in data and AI solutions with industry awards and accolades. Employee Benefits Culture: Open Door Policy: Encourages open communication and accessibility to management. Open Office Floor Plan: Fosters a collaborative and interactive work environment. Flexible Working Hours: Allows employees to have flexibility in their work schedules. Employee Referral Bonus: Rewards employees for referring qualified candidates. Appraisal Process Twice a Year: Provides regular performance evaluations and feedback. Inclusivity and Diversity: Hiring practices that promote diversity: Ensures a diverse and inclusive workforce. Mandatory POSH training: Promotes a safe and respectful work environment. Health Insurance and Wellness Benefits: GMC and Term Insurance: Offers medical coverage and financial protection. Health Insurance: Provides coverage for medical expenses. Disability Insurance: Offers financial support in case of disability. Child Care & Parental Leave Benefits: Company-sponsored family events: Creates opportunities for employees and their families to bond. Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child. Family Medical Leave: Offers leave for employees to take care of family members' medical needs. Perks and Time-Off Benefits: Company-sponsored outings: Organizes recreational activities for employees. Gratuity: Provides a monetary benefit as a token of appreciation. Provident Fund: Helps employees save for retirement. Generous PTO: Offers more than the industry standard for paid time off. Paid sick days: Allows employees to take paid time off when they are unwell. Paid holidays: Gives employees paid time off for designated holidays. Bereavement Leave: Provides time off for employees to grieve the loss of a loved one. Professional Development Benefits: L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development. Mentorship Program: Offers guidance and support from experienced professionals. Job Training: Provides training to enhance job-related skills. Professional Certification Reimbursements: Assists employees in obtaining professional certifications. Promote from Within: Encourages internal growth and advancement opportunities.