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Decision Analytics
3 months ago
Engage with client to evaluate their current and future needs, crafting bespoke solution architectures and providing strategic recommendations
Develop comprehensive architecture solution roadmaps integrating client business processes and technologies
Define and enforce coding standards for ETL processes, ensuring maintainability, reusability, and adherence to best practices
Architect and implement CI/CD pipelines for databricks notebooks and jobs, ensuring testing , versioning and deployment
Disaster recovery strategies for databricks environments, ensuring data resilience and minimal downtime in case of failure
Innovate and expand solution offerings to address data challenges
Advise stakeholders on data cloud platform architecture optimization, focusing on performance
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
Role:
Decision Analytics
Location:
Remote/Canada
Duration:
Fulltime
Job Description
Role & Responsibilities Overview:
Design and implement databricks based solutions with a focus on distributed data processing , data partitioning and optimization for parallelism
Engage with client to evaluate their current and future needs, crafting bespoke solution architectures and providing strategic recommendations
Develop comprehensive architecture solution roadmaps integrating client business processes and technologies
Define and enforce coding standards for ETL processes, ensuring maintainability, reusability, and adherence to best practices
Architect and implement CI/CD pipelines for databricks notebooks and jobs, ensuring testing , versioning and deployment
Disaster recovery strategies for databricks environments, ensuring data resilience and minimal downtime in case of failure
Innovate and expand solution offerings to address data challenges
Advise stakeholders on data cloud platform architecture optimization, focusing on performance
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 architecture, design and implementation using databricks
~ Deep understanding of databricks, snowflake; must have experience in implementing solution using Databricks
~ Demonstrated experience with the deployment of databricks on cloud platforms , including advanced configurations
~ In depth knowledge of spark internals, catalyst optimization, and databricks runtime environment
~ Experience in Insurance (P&C) is good to have
~ Technologies – SQL, Databricks, Delta Lake storage, Spark (PySpark, Spark SQL).
~ Project Management using Agile, Scrum 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
Seniority level
~ Seniority level Mid-Senior level
Employment type
~ Employment type Contract
Job function
Job function Research, Analyst, and Information Technology
Industries Human Resources Services
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