Azure Synapse Data Engineer

We are looking for a highly skilled and experienced Azure Data Engineer with strong expertise in Azure Databricks , Azure Data Factory , PySpark , and Azure Synapse Analytics . The ideal candidate will be responsible for designing and building scalable data solutions, performing advanced data transformation and integration tasks, and contributing to the overall data architecture and strategy.

Key Responsibilities

• Design and develop scalable and optimized data pipelines using Azure Data Factory and Azure Databricks
• Write efficient and reusable PySpark code for data transformations
• Build and maintain data integration workflows to support various business needs
• Implement and manage Azure Synapse for data warehousing and advanced analytics
• Optimize data processing workflows for performance and cost efficiency
• Collaborate with data scientists, analysts, and other engineers to ensure data quality and integrity
• Develop and maintain technical documentation and best practices

Must-Have Skills

• Azure Databricks strong experience in building and orchestrating notebooks, clusters, and workflows
• Azure Data Factory (ADF) expertise in creating and managing pipelines and data flows
• PySpark strong programming skills for big data processing
• Azure Synapse Analytics solid understanding of data warehousing concepts and analytics

Pyspark, Sql, Adb, Adf, Azure, Databricks, Azure Syanpse

Role: Data Engineer

Industry Type: IT Services & Consulting

Department: Engineering - Software & QA

Employment Type: Full Time, Permanent

Role Category: Software Development

Education

UG: Any Graduate

PG: Any Postgraduate