Azure Databricks Architect at nexuscorp

Level: not_specified

Description

Lead the architecture, design, and implementation of advanced analytics solutions using Azure Databricks/Fabric. This role involves working with big data technologies, data engineering, and cloud computing, focusing on Azure Databricks and SQL. Responsibilities include overseeing end-to-end data solution implementation, leading data pipeline and ETL process development, integrating Azure Databricks with various Azure services and on-premise systems, providing technical leadership and mentoring, and ensuring compliance with security and governance standards.

Required Skills

Azure Databricks
Delta Lake
PySpark
Hadoop
SQL
NoSQL databases
CI/CD pipelines
Git
cloud security best practices

Additional Information

Required Previous Experiences: 8+ years in developing data ingestion and transformation pipelines using Databricks/Synapse notebooks and Azure Data Factory.
Solid understanding and hands-on experience with Delta tables, Delta Lake, and Azure Data Lake Storage Gen2.
Experience in efficiently using Auto Loader and Delta Live tables for seamless data ingestion and transformation.
Proficiency in building and optimizing query layers using Databricks SQL.
Demonstrated experience integrating Databricks with Azure Synapse, ADLS Gen2, and Power BI for end-to-end analytics solutions.
Prior experience in developing, optimizing, and deploying Power BI reports.
Familiarity with modern CI/CD practices, especially in the context of Databricks and cloud-native solutions
Preferred Qualifications: Power BI for dash boarding and reporting.
Microsoft Fabric for analytics and integration tasks.
Spark Streaming for processing real-time data streams.
Familiarity with Azure Resource Manager (ARM) templates for infrastructure as code (IaC) practices.
Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Strong problem-solving skills and a proactive approach to identifying and resolving issues.
Leadership skills with the ability to manage and mentor a team of data engineers.