Senior Data Engineer
LeadStack Inc., Cincinnati, OH, United States
LeadStack Inc. is an award-winning, one of the nation’s fastest-growing, certified minority-owned (MBE) staffing services provider of contingent workforce. As a recognized industry leader in contingent workforce solutions and Certified as a Great Place to Work, we’re proud to partner with some of the most admired Fortune 500 brands in the world.
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