Azure Developer (Power Bi) in Rāniganj, India is listed on Jobeax. Browse 30,000+ vacancies available.
8+ years of hands-on experience in data architecture or data engineering, including at least 4 years focused on the Microsoft/Azure data ecosystem
3+ years of hands-on experience with Power BI semantic model design, including Tabular models, DAX, and dataset performance tuning
1+ years of hands-on experience with Microsoft Fabric, including OneLake, Fabric capacity management, and migration from Power BI Premium capacity
Experience diagnosing and resolving performance and scalability issues in large, enterprise-scale semantic models, including capacity and query-load analysis
3+ years of experience with the broader Azure data ecosystem (Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, Azure SQL)
2+ years of experience acting as a solution architect on client-facing engagements, including reviewing third-party/vendor-built data models and presenting recommendations to executive stakeholders
Azure Solutions Architect Expert, Azure Data Engineer Associate, or Fabric Analytics Engineer Associate) is required
Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field
Experience in consulting or other client-facing advisory roles, ideally in an assessment/audit capacity
Experience with Power BI Premium capacity administration and capacity metrics analysis
Experience with Direct Lake mode, Fabric warehouse/lakehouse design, and OneLake shortcuts
Microsoft certifications such as Microsoft Certified: Fabric Analytics Engineer Associate, Azure Data Engineer Associate, or Azure Solutions Architect Expert
Experience evaluating vendor or third-party-delivered BI solutions and documenting findings and remediation plans
Experience presenting technical findings and roadmaps to both large and small audiences, including executive stakeholders
... RAG, LLMs, AutoGen, OCR, Databricks, PySpark, Python, Azure DevOps, and enterprise AI platforms. The role requires strong hands-on experience across SQL Server, Azure Data Factory, Azure Data Lake, Microsoft Fabric, Logic Apps,Power BI, GitHub, and Data Modeling. Required Skills: - 10+ years of Software Engineering / Data ...
... stakeholders to understand data requirements and translate them into efficient code solutions. Key Requirements: - 3+ years of professional experience as a Python Developer with exposure to BI tools like Power BI, Tableau or QlikView. - Hands-on proficiency in Python and related frameworks/libraries, including Django, FastT API, ...
... Strong proficiency in Python, PySpark, Spark, Databricks, Delta Lake, PowerBI and SQL, with hands-on experience using - Azure Data Factory, Azure Pipelines, Azure DevOps, and Git for version control. - Proven experience working with Azure Databricks and PySpark/Spark for data engineering tasks and Power BI as data analytics ...
... Connectors: Build complex multi-stage cloud and desktop flows using Power Automate. Develop custom connectors to integrate Power Apps with external REST APIs, GCP (BigQuery), Azure Functions, and Microsoft Graph API.- Reporting & Data Analytics: Integrate interactive Power BI dashboards and reports directly into Power Apps screens.- ...
Job Description Contact center platform experience is the core: NICE CXone administration and integration, plus Microsoft-stack build work including Copilot Studio, Dynamics 365 Contact Center, Azure Communication Services, Azure AI (Speech and Foundry), Microsoft Fabric, and Power BI.
... MIP/DLP).- Experience with data governance tools such as Informatica (Axon), Collibra, Atlan, or IBM IG Catalog.- Experience integrating governance with the Azure data stack (Data Lake, Synapse, SQL DB, Power BI) and Snowflake, and automating via ADF, REST APIs, PowerShell, Azure Functions / Logic Apps.- Experience defining ...
... Data Center Bridging Experience with PowerShell automation and scripting. Ability to create technical documentation and operational procedures. Knowledge of Azure hybrid management capabilities. Strong working knowledge of DevOps, Agile, Kanban, SCRUM and ITIL frameworks. Ability to work effectively with clients, management ...
... Microsoft Fabric.- Architect and oversee data pipelines, dataflows, notebooks, and event-driven workloads.- Collaborate with enterprise architects, data engineers, BI developers, and business users to align solutions with business needs.- Define data modeling standards, naming conventions, and best practices for data engineering ...
... Microsoft Fabric.- Architect and oversee data pipelines, dataflows, notebooks, and event-driven workloads.- Collaborate with enterprise architects, data engineers, BI developers, and business users to align solutions with business needs.- Define data modeling standards, naming conventions, and best practices for data engineering ...
... Synapse, dbt (any two – Mandatory). Data Warehousing: Azure SQL Server/Redshift/Big Query/Databricks/Snowflake (Anyone - Mandatory). Data Visualization: Looker, Power BI, Tableau (Basic understanding to support stakeholder queries). Cloud: Azure (Mandatory), AWS or GCP (Good to have). SQL and Scripting: Ability to read/debug ...
... workflows. Full lifecycle experience — you've taken a design from blueprint through production support. Relevant cloud/platform certifications (Databricks, Snowflake, Azure). BI/reporting tool exposure (Power BI, Tableau, or similar). Experience with visualization tools such as QuickSight, Plotly, or Dash. Ability to interact with ...
... hands-on experience in software application development and Business Intelligence delivery, with a proven track record in team leadership.- Deep experience in BI tools and platforms such as Power BI, Tableau, QlikView, or similar tools.- Strong experience in data warehousing, ETL processes, data modeling, and database technologies ...
... optimization, and security (RBAC, masking)- Manage data governance, quality, and compliance- Support testing processes using ALM/AQM frameworks .Collaborate with BI teams using Tableau Software and Microsoft Power BIRequired Skills : - 8+ years of experience in Data Warehousing & BI- 3+ years of hands-on Snowflake architecture ...
... while collaborating closely with Data Engineering teams. The ideal candidate should have strong hands-on expertise in Tableau, along with a good understanding of Power BI and DAX, and practical experience in migrating Tableau dashboards and reports to Power BI. Key Responsibilities Work on a wide range of data analytics, ...
... requires close collaboration with clients and internal stakeholders to drive data-driven decision-making. Design, develop, and maintain dashboards and reports using Power BI or Tableau Write efficient and optimized SQL queries for data extraction and transformation Use Python for data analysis, automation, and advanced analytics ...
... Description About the team : ZF Industrial Technology is a global leader for driveline and transmission technology for industrial application domains like Wind Power Technology, Off-Highway Systems and Test Systems for on- and off-road mobility. The ZF Wind Power Business Unit is part of ZF group which is known as one of ...
... ideal candidate will have strong fundamentals in electromagnetics and high‑speed signalling, hands‑on experience with industry‑standard simulation tools, and an ability to collaborate across silicon and systems teams to deliver robust, manufacturable products. Perform signal integrity (SI) and power integrity (PI) analysis ...
... orchestration pipelines using Kafka, Snowflake, and Python - Hands-on experience with DBT for data modeling and pipeline development - Strong knowledge of SQL, ETL/ELT, Azure Data Factory, APIs, Azure Functions, and Azure Storage - Experience with BI tools such as Power BI and ThoughtSpot - Proficient in SSAS and DAX - Experience ...
... scientists, analysts, and stakeholders to understand data requirements and deliver high-quality data solutions.- Optimize data workflows for performance and scalability within the Azure environment.- Ensure data quality, integrity, and security throughout the data lifecycle.- Monitor and troubleshoot data processing issues ...