Python Developer

Top 3-5 Skills:

• Advanced Data Science/Business Intelligence expertise
• Mastery in SQL for large-scale data manipulation
• Proficiency with common BI toolsets: Power BI, Cognos, Tableau
• Extensive experience with Python for data engineering and analytics
• Deep knowledge of Azure platform development and architecture

Minimum Qualifications - Education & Prior Job Experience:

• Bachelor’s degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering, or related technical discipline, or equivalent experience/training
• 7 years of experience in software solution development within an agile and DevOps environment, operating in a product-based model, and delivering large-scale applications or data engineering solutions
• 7 years of experience in data science, business intelligence, or data analytics using common BI tools (Power BI, Cognos, Tableau), with demonstrated SQL mastery
• 7 years of cloud development experience, preferably on Microsoft Azure, including hands-on experience with Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps, and Power BI
• Strong combination of Development, Administration, and Support experience in multiple tools/platforms, including:

1. Scripting: Python, Spark, Unix, SQL
2. Data Platforms: Teradata, Couchbase, MongoDB, Oracle, SQL Server, ADLS, Snowflake
3. Azure Cloud Technologies: Azure Data Explorer, Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps, and Azure Functions
4. CI/CD Tools: GitHub, Jenkins, Azure DevOps, Terraform
5. BI Analytics Tools: Cognos, Tableau, Power BI, Alteryx, Denodo, and Grafana

Preferred Qualifications - Education & Prior Job Experience:

• 3 years of full-stack development experience, preferably with Azure cloud services
• Strong expertise with Azure Power Apps and Power BI
• Previous experience in the airline industry is a plus

Skills, Licenses & Certifications:

• Advanced proficiency in the Azure technology stack, specifically for data management, data ingestion, processing, and creating consumption layers
• Demonstrated ability to provide practical guidance and leadership in the use of Azure native cloud services
• Azure Development Track Certification (preferred)
• Spark Certification (preferred)