▷ Only 24h Left: Azure Databricks Data Engineer

3 weeks ago


Bengaluru, India Pradeepit Consulting Services Full time

Job Description Pradeepit Consulting Services is actively seeking an experienced Azure Databricks Data Engineer to join our client's dynamic team. This role demands a professional with expertise in Azure Databricks, PySpark, and SQL, focused on designing, developing, and optimizing data solutions. Key Responsibilities - ETL Development & Data Processing: - Design, develop, and maintain ETL pipelines using Azure Databricks, PySpark, and Azure Data Factory (ADF). - Extract, transform, and load data from multiple sources into Azure Data Lake Storage. - Optimize and fine-tune ETL workflows for performance and scalability. - SQL Query Optimization: - Write complex SQL queries, including joins, subqueries, and functions, for data processing. - Perform SQL tuning and query optimization to enhance efficiency. - Efficiently handle large datasets. - Azure Cloud Integration: - Implement data solutions utilizing Azure technologies such as Databricks, ADF, and ADLS. - Work with both batch and streaming data processing for real-time analytics (preferred). - Ensure data security, compliance, and reliability in cloud-based systems. - Collaboration & Problem-Solving: - Collaborate with cross-functional teams to support data analytics and business intelligence initiatives. - Proactively identify and resolve data-related issues. - Provide insights and recommendations for improving ETL performance. Skills - Strong experience in Azure Databricks, PySpark, and SQL. - Proficiency in writing complex SQL queries, functions, and performing query tuning. - Hands-on experience with Azure Data Factory (ADF) and Azure Data Lake Storage. - Ability to handle large datasets efficiently. - Proven experience in performance optimization of ETL workflows. - Good understanding of batch and streaming data processing (preferred). - Strong analytical and problem-solving skills. - Ability to work independently and take ownership of tasks. Qualifications - Bachelor's degree in Information Technology, Computer Science, or a related field.



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