Databricks Architect

• Title: Databricks Architect
• Key Requirements: Hands on experience in Databricks, SQL, PySpark. Must have Insurance domain experience.
• Location: Jersey City, NJ
• Job Type: Hybrid (2 days work from office)
• Duration: 12+ Months
• Start Date: Immediate
• Number of roles: 1

Role & Responsibilities Overview:

• Develop and optimize ETL pipelines from various data sources using Databricks on cloud (AWS, Azure, etc.)
• Experienced in implementing standardized pipelines with automated testing, Airflow scheduling, Azure DevOps for CI/CD, Terraform for infrastructure as code, and Splunk for monitoring
• Continuously improve systems through performance enhancements and cost reductions in compute and storage
• Data Processing and API Integration: Utilize Spark Structured Streaming for real-time data processing and integrate data outputs with REST APIs
• Lead Data Engineering Projects to manage and implement data-driven communication systems
• Experienced with Scrum and Agile Methodologies to coordinate global delivery teams, run scrum ceremonies, manage backlog items, and handle escalations
• Integrate data across different systems and platforms
• Strong verbal and written communication skills to manage client discussions

Candidate Profile:

• 8+ years experience in developing and implementing ETL pipelines from various data sources using Databricks on cloud
• Experience in insurance domain/ data is must
• Programming Languages SQL, Python
• Technologies - IaaS (AWS or Azure or GCP), Databricks platform, Delta Lake storage, Spark (PySpark, Spark SQL).
• Good to have - Airflow, Splunk, Kubernetes, Power BI, Git, Azure DevOps
• Project Management using Agile, Scrum
• B.S. Degree in a data-centric field (Mathematics, Economics, Computer Science, Engineering or other science field), Information Systems, Information Processing or engineering.
• Excellent communication & leadership skills, with the ability to lead and motivate team members
• Ability to work independently with some level of ambiguity and juggle multiple demands