Azure Full Stack Developer

Minimum Qualifications

• 7+ years’ experience in a predictive and decision support analytics function
• 7+ years quantitative analysis experience
• 3+ years of advanced analytics development experience
• Strong foundation in statistics
• Bachelor's Degree in Computer Science, Computer Engineering, MIS, or related field
  

Must Have Skills

• General architecture
• Familiar with large-scale analytical systems
• Understanding of designing workflow/process-based systems
• Experience solutioning Cloud based enterprise data architectures
• Information architecture
• Data Modeling principles for relational and dimensional data structures
• Data Warehouse design principles (e.g. Kimball, Inmon)
• Data Lake design principles
• Hybrid enterprise data architecture
• Expertise using various open source or dedicated analytics tools – Matlab, R, Python, Scala
• SQL Server core database engine (SQL, T-SQL code development)
• Microsoft Azure
• Azure Advanced Analytics
• Azure PaaS
• Azure Data Services
• Azure Data Factory
• Cosmos db
• Azure Data Lake
• Azure Databricks
• Azure Storage, Azure Data Explorer, etc., etc.
• Big Data technologies / Languages:
• Python, Spark, Scala, PySpark
  

Non-Technical Skills

• Clear and effective verbal and written communication for both technical and non-technical audiences
• Confident presentation skills, including the ability to explain complex concepts to senior clients.
  

• Ability to mentor, coach, and lead cross-functional teams in collaborative environments
• Ability to foster a problem-solving culture and contribute meaningfully to team objectives.
  

• Strong sense of responsibility, accountability, and trust-building with client stakeholders.
• Ability to manage client expectations regarding scope, timeline, and cost.
  

• Growth mindset and willingness to continuously improve skills and adopt new technologies.
• Comfort in fast-paced consulting environments and ability to quickly learn new tools and concepts.
  

• Results-oriented approach with a reputation for getting things done.
• Strong organizational skills, ability to independently drive projects, and proactive identification and mitigation of risks.
  

Good To Have Skills & Certifications

• Big Data technologies / Languages:
• Information architecture
• Data Science application experience
• General DBMS experience
• General Reporting capabilities
• Microsoft SQL Server technologies:
  

Key Responsibilities

• Architect, develop, and deploy robust, scalable data solutions using Azure Synapse, Databricks, Fabric, Data Factory, and related tools.
• Design and optimize ETL/ELT data pipelines with Python, PySpark, and SQL for structured and unstructured data.
• Build modern data architectures: data lakes, warehouses, lakehouses, and streaming platforms.
• Implement and automate data ingestion, transformation, modeling, and validation within Azure and Databricks.
• Lead end-to-end Power BI or Fabric analytics solutions, including semantic modeling, DAX, and data visualization.
• Advice on data modernization, governance (Purview, Entra ID), and security best practices aligned with Microsoft frameworks.
• Partner with clients and project teams, translate business requirements into actionable architectures, and communicate technical plans to stakeholders.
• Mentor peers and guide teams on best practices, technical standards, and continuous learning in the Microsoft/Databricks ecosystem.
• Author high-quality project, design, and technical documentation as well as support pre-sales and business development activities as needed.