Data Engineer

USC and GC

• Analyze, design and develop enterprise data and information architecture deliverables, focusing on data as an asset for the enterprise. Understand and follow reusable standards, design patterns, guidelines, and configurations to deliver valuable data and information across the enterprise, including direct collaboration with our data sector, where needed.
• Experience designing, building, and deploying scalable cloud-based solution architectures
• Expertise in creating lake houses in Azure and building Realtime Streaming Analytics Platform leveraging Azure Services
• Experience working with public cloud platforms such as AWS, Azure
• Expertise in Python, SQL
• experience with retail client preferred .
• Experience building data lakes & data warehouses to support operational intelligence and business intelligence
• Experience working with Serverless Computing & Azure Functions
• Experience with Cosmos DB, Azure Data Explorer, Azure Synapse Analytics, Azure Data Lake, Azure Data Factory, Azure SQL, Azure Databricks, Azure Machine Learning or equivalent tools & technologies
• 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.
• Expertise with Object Oriented Programming Skills and Design Patterns
• 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
• Must be very organized, able to balance multiple priorities, and self-motivated
• Azure Certifications in Associate and Expert levels for Data Services preferred
• Familiarity or experience with building AI / ML solutions

This position will be based in Cincinnati working in the Cincinnati area offices for a minimum of three days in the office with the other days being need based in office. In-person interviews will be conducted for candidate evaluation.

Key Responsibilities :