Key Responsibilities5-8 years of experience in data engineering with solid 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.Seniority LevelMid‑Senior levelEmployment TypeFull‑timeJob FunctionInformation TechnologyIndustriesIT Services and IT ConsultingLocation & CompensationNew York, NY – $75,000.00–$80,000.00 (posted 5 months ago)#J-18808-Ljbffr

📌 Azure Data Engineer - $75,000 - $80,000 A Year (Toronto)
🏢 Atos
📍 Toronto