Azure Data Engineer - 8+ Years - Hyderabad - Immediate Joiners

Job Brief

We are seeking a Azure Data Engineer who is having 8+ Years experience for Hyderabad location to work in Hybrid model.

Responsibilities

• Design, develop, and manage data pipelines and ETL workflows using Azure Data Factory (ADF).
• Write and optimize complex SQL queries for data transformation, performance tuning, and reporting.
• Implement Azure Databricks (UC + DT) for scalable big data processing and analytics.
• Develop PySpark-based data transformations for structured and unstructured data processing.
• Utilize Azure Synapse Analytics for data warehousing, querying, and performance optimization.
• Work with Azure Data Lake Storage (ADLS) to store and manage large datasets.
• Develop Python-based data processing scripts for automation and integration.
• Implement best practices for data modeling, partitioning, indexing, and optimization in SQL and Synapse.
• Monitor and troubleshoot ETL failures, job scheduling issues, and data integrity problems.
• Collaborate with data analysts, data scientists, and business teams to ensure high-quality data delivery.

Requirements

• 5+ years of experience in data engineering with strong proficiency in SQL & ADF.
• Deep understanding of Azure Databricks (Unified Compute + Delta Tables) and PySpark.
• Strong expertise in SQL Server, Synapse Analytics, and performance tuning.
• Hands-on experience with Python for data processing and automation.
• Proficiency in ETL design, data transformation, and data integration in Azure cloud.
• Experience with Azure Data Lake Storage (ADLS) and structured data processing.
• Strong problem-solving, debugging, and performance optimization skills.