Azure Databricks and PowerBI Engineer
1 day ago
The Azure Databricks Engineer implements and manages the operational aspects of cloud-native and hybrid data platform solutions built with Azure Databricks.
Job Description:
Candidates for this role should understand all concepts covered in Azure Data Engineer Associate, Azure Database Administrator Associate, Microsoft Azure Data Fundamentals and Power BI Data Analyst Associate certifications.
Candidate will provide expertise and ownership of Azure Databricks development tasks within the scrum team.
Candidate will provide expertise in PowerBI and data analysis
Interacts effectively with clients and leadership, and can adapt communication for the appropriate audience.
Reads and comprehends software requirements, assisting with development of agile user stores and tasks.
Assists with troubleshooting configuration and performance issues.
Assists with Azure Databricks deployments, testing, configuration, and installation.
Ensures security is a priority and understands the various areas where security vulnerabilities arise with database technologies.
Ensures database resiliency, and disaster recovery capabilities.
Comprehensive understanding of backups, restores, redundancy, geo-replication and Azure storage concepts.
Documentation and Knowledge Sharing, creates detailed documentation for the database. Facilitates knowledge sharing within the team for effective collaboration.
Essential Skills and Experience Required:
Required Qualifications:
5+ years proven experience working with Azure Databricks Analytics database capabilities, specifically Azure Databricks and other relational database technologies supported in Azure.
5+ years proven experience with Azure Data Lake Storage Gen 2, Azure Databricks, Azure Data Explorer, Azure Event Hubs, Spark Pools, Python, PySpark, SQL, Azure Landing Zone, Azure Networking Services, Microsoft EntraID.
5+ years proven experience with Azure geo-redundancy, HA/failover technologies.
5+ years proven experience designing and implementing data pipelines using Azure Databricks for data cleaning, transformation, and loading into Data Lakehouse.
5+ years proven experience with Infrastructure as Code (IaC) tools such as Terraform.
5+ years proven experience with programming languages such as Python, PySpark and data constructs such as JSON or XML.
3+ years PowerBI
Understanding of implementing Medallion Architecture using Azure Services.
Strong experience with relational and/or dimensional data modeling.
Excellent problem-solving skills and a proactive approach to identifying and resolving issues.
Strong teamwork and communication skills, with the ability to collaborate effectively with cross-functional teams.
Candidate must be a U.S. Citizen or current Green Card holder for at least 3 years. Must be able to perform work within the continental United States. Position may require some travel within the United States.
Preferred Qualifications:
Experience in large scale cloud data migrations using Databricks, Python, Spark, SQL.
Understanding of Azure DevOps tools in an Azure production setting.
Strong experience with Azure Data Studio, Visual Studio database management/projects/design capabilities, Azure CLI, and Powershell.
Strong and current familiarity with Azure platforms and services, including Azure App Services, Azure API Management, Azure Monitor, Azure Application Insights, Azure SQL, etc.
Experience with CI/CD pipelines and deployment automation using tools like Azure DevOps.
Experience with Agile methodologies.
Strong understanding of security best practices for Azure database deployments, including, access controls, IAM, data encryption (TDE), Azure key vaults and masking.
Awareness of FedRAMP, FISMA, and/or Zero Trust Architecture strongly desired.
Experience with SQL Server versions 2005 – 2022 is a plus.
Experience with Oracle or Microsoft Sql Server, either in Azure or on-prem, is a plus.
Preferred Certifications:
Azure Data Engineer Associate
Azure Database Administrator Associate
Azure Data Fundamentals
Power BI Data Analyst Associate
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