Azure Data Engineer

Skills

• Design develop implement and maintain solutions in Azure using the following tech: Azure SQL Databricks Azure Data Factory and GraphQL. Expertise in Batch Services Service Buses Event Grid Function Apps APIM App Insights Key Vault and performance tuning/optimization. • Care about quality and clean code; deliver high quality code including logging alerting and monitoring – the DevOps mindset • Work in an agile fashion to develop estimate test and maintain our backend systems while collaborating with team members on product backlog grooming sprint planning execution review and retrospective • Be an active contributor to development best practices and code reviews to ensure coding standards are followed implementation meets requirements and proper tests are written • Communicate effectively with all associates and business contacts to promote a strong sense of teamwork • Foster an innovative culture with an eye towards a DevOps mindset scalability reliability & performance • Design high-performing queries and views; performance tuning of queries • Design efficient DB schemas • Data Driven Unit tests for Validating SQL

Description

Multiple programming languages, frameworks, cloud architecture:
Languages: T-SQL, Python, C#
ETL: Azure Data Factory, Azure Databricks
Architectural Patterns: Data Warehousing, Medallion Architecture, Microservices Architecture, Event-based Architecture
Source control: Git code management
Strong data modeling and lineage background
• Deploying production services in a cloud environment; ideally Azure including:
Azure Functions, Azure Data Factory, Azure Batch Service, Azure API Management, GraphQL

Responsibilities

• • Bachelor’s degree in Computer Science or comparable work experience
• • 5+ years of proven experience working as a hands-on Backend Software Engineer in an agile environment with multiple programming languages, frameworks, cloud architecture:
• Languages: T-SQL, Python, C#
• ETL: Azure Data Factory, Azure Databricks
• Architectural Patterns: Data Warehousing, Medallion Architecture, Microservices Architecture, Event-based Architecture
• Source control: Git code management
• Strong data modeling and lineage background
• • Deploying production services in a cloud environment; ideally Azure including:
• o Azure Functions, Azure Data Factory, Azure Batch Service, Azure API Management, GraphQL
• o App Insights (Logging / Alerts)
• • Demonstrated experience in identifying, debugging, and resolving complex production issues
• • Excellent written and verbal communication skills and strong cognitive ability especially with respect to understanding, documenting, and describing complex technical subjects
• • Strong interpersonal skills and broad business and technical knowledge