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TITLE : Senior Azure Data Engineer

LOCATION : Cincinnati, OH – hybrid in Blue Ash (no exceptions)

RATE : 75-80/hr target (flexible for the right candidate)

DURATION : 6m CTH

WORK AUTH : At this time, the client is unable to provide sponsorship. Must be able to convert without sponsorship.

INTERVIEW PROCESS : Recruiter screen > 1-way video interview w/ 8 questions (25 minutes) > 2-3 hour ONSITE interview (MANDATORY, ABSOLUTELY NO EXCEPTIONS)

TOP SKILLS: Resumes need to have these clearly defined in the experience sections and have strong project summaries.

• Strong knowledge in object oriented programming
• Python Programming
• Advanced Sql
• Azure HIGHLY PREFERRED – Azure function, Cosmos db / Synapse preferable. Will consider any cloud experience
• DataBricks – desirable
• CI / CD

Job Description:

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 84.51, where needed.

Experience designing, building, and deploying scalable cloud-based solution architectures

Expertise in creating lakehouses in Azure and building Realtime Streaming Analytics Platform leveraging Azure Services

Experience working with public cloud platforms such as AWS, Azure

Expertised in Python, SQL

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.

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

Familiarity or experience with building AI/ML solution