Job Title: Lead Backend Engineer Azure & Data Platforms (Python/Spark)
Job Location: Deerfield IL (Hybrid - 3 days/week onsite)
Key Technology: Azure Spark SDK SQL/NoSQL Python/Node/Java
Job Responsibilities:
- Act as the lead engineer for each domain
- Collaborate with Solution Architects to ensure understanding needed for engineering level guidance to nearshore teams
- Translate architecture design to engineering level guidance
- Own specifying architectural designs into sprint-ready engineering tasks for assigned domain
- Ensure delivery to the solution architecture within domain
- Answer design questions for sprint teams
- Participate in backlog refinement sessions to align team with the architecture
- Act as the internal technical expert supporting Product design and Engineering teams on demonstrations and technical discussions.
- Create/Update documentation such as solution design patterns and engineering standards.
- Lead technical discussions around APIs integrations data flow compliance and security.
- Serve as a trusted advisor on best practices technical implementation and scalability.
Skills and Experience Required:
Required:
- 8 years in full-stack or backend software development.
- Experience with Python Spark Databricks Azure Event Hub ADF Delta Tables
- Strong understanding of Spark and Azure data services.
- Experience with cloud platforms preferably Azure.
- Familiarity with integrations SDKs and system architecture design.
- Knowledge of databases (SQL and/or NoSQL) and data modeling.
- Experience with scripting or programming languages (e.g. Python or Java).
- Excellent communication skills both written and verbal.
- Ability to explain complex technical concepts to non-technical stakeholders.
- Strong problem-solving and troubleshooting skills.
- Highly collaborative and customer-focused mindset.
Desired:
- Exposure to DevOps CI/CD pipelines and containerization (Docker Kubernetes).
- Pharmacy Business domain experience
Tech Stack: Python Spark Databricks Azure Event Hub ADF Delta Tables
Python,Spark,Azure,SDK