Data Engineer

Duration: 3 Months, Contract to Hire
Location: Remote
Pay: $55

JOB DESCRIPTION
A monetary force, this company, with over one hundred and fifty billion dollars in annual revenue is the pulse of the retail industry. By having over 2,750 different locations in thirty-five states, there is no doubt that this company directly impacts the lives of many people in the American populous, and, by extension, in the world populous. Being a part of such a massive retail organization can be intimidating, but this company, through their subsidiaries, is able to maintain personal relationships with their employees. Through intentionality, integrity, and innovation, this company is able to be an ideal workplace that excites and has a profound impact on several communities. This company fully understands that by working together there is no limit to what can be created.

RESPONSIBILITIES

• Collaborate with solution architects, Cloud services, enterprise data management, and product managers to iterate on the design and implementation of fulfillment services data strategy
• Design Azure-based technical architectures, migration approaches, and application optimizations that enable the product
• Be a technical advisor and troubleshoot to resolve technical challenges with data product related infrastructure and application(s)
• Author and publish data governance models, data lineage, and data dictionary for fulfillment services data catalogs
• Focus on overall product’s data quality and user experience
• Build standards, processes, and procedures to deliver best results
• Create data pipelines for various types of streaming use cases
• Mentor other engineers in the fulfillment services teams on best practices with data movement and data integration
• Create and document architectural decision records (ADRs)
• Manage individual project priorities, deadlines, and deliverables
• Assist the Scrum Master in creating technical stories / spikes
• Adapt quickly to changing technology and business requirements
• Stay up to date on emerging technologies across the company and the industry

REQUIREMENTS

• Experience designing, building, and deploying scalable Cloud-based solution architectures
• Experience working with public cloud platforms such as AWS, Azure, and GCP
• Expertise in Python, SQL
• Experience building data lakes and data warehouses to support operational intelligence and business intelligence
• Experience with Azure Synapse Analytics, Azure Data Lake, Azure Data Factory, CosmosDB, Azure SQL, Azure Databricks, or equivalent tools and technologies
• Experience working with Serverless Computing and Azure Functions
• Experience with Kafka and / or other event streaming mechanisms
• Experience with monitoring / alerting techniques and APM tools
• Experience automating infrastructure provisioning, DevOps, or Continuous Integration / Delivery
• Knowledge of containerization and container orchestration technologies
• Good understanding and / or experience writing software in one or more languages, such as Java, Go, JavaScript, C++, or similar
• Familiarity with standard IT security practices such as identity and access management, SSO, data protection, encryption, certificate, and key management
• Familiarity and good understanding of infrastructure – storage, networking etc
• Strong analytical problem-solving skills
• Excellent written and verbal communication skills
• Self-starter takes the initiative and works well under pressure
• Business-minded approach to time, costs, and milestones
• Lead the analysis of the technology environment to detect critical deficiencies and recommend solutions for improvement

Category Code: JN008