MS Azure Developer – Data Analytics and BI Focus

 

Job Summary

 

We are seeking a skilled and proactive MS Azure Developer with strong experience in cloud-based development, SQL Server, Power BI, ETL processes, and Python programming. The ideal candidate will be responsible for configuring and building scalable applications and data pipelines on Microsoft Azure based platform, performing data analytics, and delivering insightful business reporting through Power BI. Familiarity with the Software Development Life Cycle (SDLC) and a foundational understanding of AI/ML concepts is a strong plus and will support advanced data-driven initiatives.

 

Key Responsibilities

 

Support in designing, develop, and deploy cloud native applications and web solutions using Microsoft Azure services via an inhouse MS Azure platform Build and manage ETL pipelines using Azure Data Factory, SSIS, and Python scripts Develop and maintain SQL Server databases with optimized queries and schema design Perform data analytics, including data profiling, cleansing, and KPI development Create and maintain Power BI dashboards and reports to support strategic decision-making Use Python for automation, scripting, and data processing Apply SDLC principles throughout development, from requirements gathering to testing and deployment Collaborate with cross functional teams to understand business needs and translate them into technical solutions Ensure application and data security, performance, and scalability

 

Essential Technical Skills

 

Microsoft Azure: App Services, Azure Functions, Logic Apps, Blob Storage, Azure Active Directory Database & Data Engineering: Strong command of SQL Server: advanced T-SQL, indexing, performance tuning ETL Tools: Azure Data Factory, SSDT and custom Python-based pipelines Working with large datasets, data cleansing, and transformation Experience with data modelling, data warehousing, integration of structured and unstructured data and star/snowflake schemas

 

Business Intelligence & Data Analytics

 

Power BI: dashboard/report design, DAX, data modelling Data analytics such as profiling, transformation, KPI reporting, statistical analysis basics. Ability to build scenarios on the given data and run scripts to address business problems Integration with cloud and on-prem data sources Python for scripting, automation, ETL processes, API integration and lightweight machine learning Familiarity with REST APIs, JSON and data interchange

 

Good-to-Have / Optional Skills

 

Exposure to AI/ML concepts and libraries like Scikit learn, TensorFlow, or use of Azure Machine Learning Studio Experience with Power Apps / Power Automate for low-code business solutions Knowledge of containerization (Docker, Kubernetes, Azure Kubernetes Service)

 

Essential Soft Skills and Professional Attributes

 

Strong analytical thinking and problem-solving mindset Ability to gather and interpret business requirements and translate into actionable technical work Excellent written and verbal communication, capable of working with technical and non-technical stakeholders Comfortable with requirement workshops, stakeholder demos, and user training Understanding and application of the SDLC in both Agile and traditional environments Proven stakeholder management skills and ability to work independently and within cross-functional teams Strong sense of ownership, accountability, and ability to manage multiple priorities