Job Description:

Join a high impact data engineering team where you ll lead the design and delivery of modern analytics solutions using Azure Databricks and Genie
In this role you ll collaborate closely with data engineers platform teams and business stakeholders to turn raw data into reliable scalable and actionable insights
You ll be trusted to drive technical decisions guide implementation standards and mentor team members while keeping performance cost and governance at the center of every solution
If you enjoy solving complex data challenges building robust pipelines and shaping best practices that help teams move faster with confidence this opportunity offers the right mix of ownership collaboration and growth

Key Responsibilities:

Key Responsibilities
Solution Delivery Leadership
Lead end to end implementation of data engineering solutions on Azure Databricks ensuring scalability reliability and maintainability
Drive technical design discussions and translate business requirements into well structured Databricks Genie based solutions
Provide technical guidance code reviews and mentorship to ensure consistent engineering standards across the team
Databricks Genie Development
Build and optimize notebooks jobs and workflows leveraging Azure Databricks and Genie capabilities
Develop reusable components and patterns to accelerate delivery across multiple use cases
Troubleshoot production issues perform root cause analysis and implement preventive improvements
Performance Quality Operations
Optimize cluster configurations job performance and resource usage to balance speed and cost
Establish monitoring and operational practices for pipeline health failures and SLAs
Ensure data quality checks and validation steps are embedded into pipelines and workflows
Minimum Qualifications
5 8 years of overall experience in data engineering analytics engineering roles with ownership of production grade delivery
Strong hands on experience with Azure Databricks and Genie for building and managing data workflows
Solid experience with Databricks development and operationalization jobs workflows notebooks
Ability to lead technical discussions perform reviews and guide implementation best practices
Education BTECH MTECH MCA MSC

Preferred Qualifications
Experience designing scalable data processing patterns and reusable frameworks within Databricks environments
Proven track record of performance tuning and cost optimization for Databricks workloads in enterprise settings
Experience establishing engineering standards branching reviews release practices and mentoring team members
Strong stakeholder management skills with the ability to align technical delivery to business outcomes
Exposure to production support models incident handling and continuous improvement for data platforms

Technology->Data Engineering->Databricks