Das ist der Job
Participate in a 24×7×365 on‑call rotation to support Databricks, SQL Server, and other relevant applications.
Darum lohnt es sich
Translate conversational ideas into clear solution architectures; break work into tasks in Planner or Azure DevOps for team execution. Review teammates’ work and provide constructive feedback. Provide feedback on training materials; conduct training sessions; develop and mentor other team members.
Responsibilities Manage workspaces, clusters, jobs, security configurations, libraries, and overall platform health. Build and optimize data pipelines and transformations using PySpark and T‑SQL. Create automation and tooling using Python, Bash, and PowerShell.
Implement and automate data governance, access controls, auditability, and compliance best practices. Estimate level of effort and forecast delivery dates with reasonable accuracy. Produce high-quality documentation including workflows, gap analyses, design specs, build documents, test plans, and transition documentation.
Oversee unit, scenario‑based, integrated, capacity, and parallel testing. Support system upgrades, patches, performance tuning, observability, and proactive monitoring. Maintain accountability for data integrity across applications and pipelines.
Complete system build and documentation in adherence to departmental guidelines and change management policy. Communicate effectively with peers, stakeholders, and leadership; provide regular status updates and escalations. Drive discussions, mentor accountable leaders, and coordinate resources across initiatives.
Qualifications Solid experience with Databricks administration, including workspace management, cluster configuration, security, jobs, and libraries. Strong proficiency in Python and scripting with Bash and PowerShell. Experience with PySpark and/or T‑SQL for data processing and transformation.
Excellent communication skills with the ability to articulate technical concepts clearly to varied audiences. Demonstrated critical thinking, problem‑solving, and troubleshooting skills. Ability to estimate effort and deliver on time. Strong understanding of data governance principles and best practices.
Commitment to information security best practices. #J-18808-Ljbffr
