
Azure Platform Data Engineering Professional
15 hours ago
Job Title: Data Engineering Expertise
About the Role:
We are seeking a skilled data engineer with extensive hands-on experience in designing, developing, and managing data pipelines and transformation frameworks that enable analytics, reporting, and business intelligence capabilities across the enterprise.
You will collaborate closely with data architects, platform engineers, and DevOps teams to build scalable, resilient, and efficient data engineering solutions using modern Azure tools and best practices.
Key Responsibilities:
• Design and build large-scale ETL/ELT pipelines using Azure Data Factory (ADF), Azure Databricks (Spark), and Azure Synapse Analytics.
• Develop and optimize PySpark/Spark SQL jobs for batch and streaming data transformations.
• Ingest data from various sources including Apache Kafka, REST APIs, and RDBMS, ensuring real-time or near-real-time availability.
• Implement data modeling strategies for analytics consumption layers in Synapse or ADLS.
• Collaborate with DevOps teams to automate deployment using CI/CD pipelines.
• Monitor, troubleshoot, and optimize data workflows for performance, cost-efficiency, and reliability.
Must-Have Skills:
• 5+ years of experience in data engineering roles.
• Hands-on experience with Azure Data Factory (ADF), Azure Databricks, and Azure Synapse Analytics.
• Strong in SQL, Python, and Spark for data manipulation and transformation.
Nice-to-Have Skills:
• Experience with Delta Lake, Event Hub, or Azure Stream Analytics.
Preferred Certifications:
• Microsoft Certified: Azure Data Engineer Associate
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