Data Architect

Azure Data Architect :

• 5-10+years of experience in data engineering with strong expertise in Azure Data Factory, Azure Databricks, and Spark SQL.
• Hands-on experience in building scalable ETL/ELT pipelines and transforming large datasets for SQL Server or other storage systems.
• Expertise in SQL, PL/SQL, and performance tuning for large-scale data workloads.
• Work with job schedulers such as Workload Automation (WLA), Control-M, or Azure Automation to manage and optimize batch processes.
• Conduct performance tuning while collaborating with the Informatica team to compare test results and perform parallel testing for validation.
• Collaborate with engineering and product teams to understand complex data systems and deliver optimized solutions.
• Perform performance tuning and ensure high availability and scalability of data workflows.