Job Description

Responsibilities

• Lead the architecture design and implementation of advanced analytics solutions using Azure Databricks Fabric The ideal candidate will have a deep understanding of big data technologies data engineering and cloud computing with a strong focus on Azure Databricks along with Strong SQL
• Work closely with business stakeholders and other IT teams to understand requirements and deliver effective solutions
• Oversee the endtoend implementation of data solutions ensuring alignment with business requirements and best practices
• Lead the development of data pipelines and ETL processes using Azure Databricks PySpark and other relevant tools
• Integrate Azure Databricks with other Azure services eg Azure Data Lake Azure Synapse Azure Data Factory and onpremise systems
• Provide technical leadership and mentorship to the data engineering team fostering a culture of continuous learning and improvement
• Ensure proper documentation of architecture processes and data flows while ensuring compliance with security and governance standards
• Ensure best practices are followed in terms of code quality data security and scalability
• Stay updated with the latest developments in Databricks and associated technologies to drive innovation

• Strong experience with Azure Databricks including cluster management notebook development and Delta Lake
• Proficiency in big data technologies eg Hadoop Spark and data processing frameworks eg PySpark
• Deep understanding of Azure services like Azure Data Lake Azure Synapse and Azure Data Factory
• Experience with ETLELT processes data warehousing and building data lakes
• Strong SQL skills and familiarity with NoSQL databases
• Experience with CICD pipelines and version control systems like Git
• Knowledge of cloud security best practices

• Excellent communication skills with the ability to explain complex technical concepts to nontechnical stakeholders
• Strong problemsolving skills and a proactive approach to identifying and resolving issues
• Leadership skills with the ability to manage and mentor a team of data engineers

• Power BI for dashboarding and reporting
• Microsoft Fabric for analytics and integration tasks
• Spark Streaming for processing realtime data streams
• Familiarity with Azure Resource Manager ARM templates for infrastructure as code IaC practices

• Demonstrated expertise of 8 years in developing data ingestion and transformation pipelines using DatabricksSynapse notebooks and Azure Data Factory
• Solid understanding and handson 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 endtoend analytics solutions
• Prior experience in developing optimizing and deploying Power BI reports
• Familiarity with modern CICD practices especially in the context of Databricks and cloudnative solutions

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