Data Platform Operations Expert
2 weeks ago
We are seeking a skilled Data Platform Operations Expert to join our dynamic team at Panzer Technologies Pvt Ltd. This role involves managing and optimizing data pipelines, workflows, and reporting solutions within the Azure Databricks and Power BI environments.
About the Job
- Azure Databricks Management: Monitor Azure resources and services to ensure optimal performance and availability.
- Develop and implement data ingestion pipelines using Azure Databricks to collect, process, and store data from various sources.
- Monitor system alerts and respond to incidents in a timely manner to minimize downtime.
- Collaborate with data engineers to design and deploy scalable data processing solutions.
Responsibilities
Maintain and support operation of Power BI reports, dashboards, and data visualizations to meet business requirements.
Manage Power BI datasets, data models, and data refresh schedules to ensure accurate and up-to-date reporting.
Create and maintain user access controls, security settings, and governance policies within the Power BI environment.
Provide training and support to end-users on Power BI usage, best practices, and troubleshooting techniques.
Requirements
- 5+ years of experience in data engineering, business intelligence, or related roles.
- Proficiency in Azure Databricks, including cluster management, notebook development, and job scheduling.
- Strong experience with Power BI, including report development, data modeling, and administration.
- Solid understanding of data integration concepts, ETL processes, and data warehousing principles.
- Experience with SQL, Python, or other programming languages for data manipulation and analysis.
- Familiarity with cloud computing platforms and their data services.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and collaboratively in a dynamic environment.
- Relevant certifications in Azure and Power BI are a plus.
Estimated Salary
Rs. 1,200,000 - Rs. 1,800,000 per annum (dependent on location and experience)
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