Azure Data Engineer

Job Description

Hands-on Backend Software Engineer in an agile environment with multiple programming languages, frameworks, cloud architecture.
Required Skills -
Multiple programming languages, frameworks, cloud architecture:
o Languages: T-SQL, Python, C#
o ETL: Azure Data Factory, Azure Data bricks
o Architectural Patterns: Data Warehousing, Medallion Architecture, Microservices Architecture, Event-based Architecture
o Source control: Git code management
o Strong data modelling 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, Graph QL
Job Duties -
The client is looking to staff one, possibly two, resources skilled in software development primarily around database engineering abilities. The client would be asking this/these resource(s) to assist with off-hours, as well as weekends, deployments, running ETL pipelines, and reacting to failures across many different applications and our datahub platform.
Job Requirements -
The Client Data Solutions Backend Software Engineer
The Client, 14-time winner of Gallup s Great Workplace Award, with more than 700 stores and $18+ billion in revenue, is seeking a Technical Product Owner to join the Data Solutions team to help deliver ODS (Operational Data Store) solutions that support a variety of projects involving Digital B2B eCommerce, Order Gateway processing applications, business process solutions, and much more. We believe in high-quality solutions that are highly reliable and highly available that are implemented using modern technology and constant innovation.
As a Data Solutions Backend Software Engineer, you will
Design, develop, implement, and maintain solutions in Azure using the following tech: Azure SQL, Databricks, Azure Data Factory, and Graph QL. 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

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