Azure Data Engineer

Role:Data Engineer Experience: 5 Years Type: Full-Time Mode: Onsite Location: Barrington, IL Interview Process : Level 1 : Virtual Level 2 & 3 : In-Person Interview (Company will bear the Airfare tickets only not accommodation) Job Description: - Experience inData Engineering, ETL, SQL Server, anddataintegration.Strong hands-on expertise inSSIS and SQL Server Stored Procedures.Excellent SQL skills includingcomplex queries, CTEs, window functions, indexing, and performance tuning.Experience devel

Lead Engineer Duration - 6 months contract to hire Location onsite Tue, Wed, Thu Chicago downtown / Irving, TX Qualifications 15+ years of professional data engineeringexperience, with proven technical leadership.Deep understanding of Azure tech stack (Databricks, ADF, Key Vault, ASQL, ADLS Gen2, Service Principles etc.)Deep experience with Databricks(design, optimization, notebooks, stored procedures, UDFs, etc).Hands-on experience with ETL tools such as SSIS and Azure Data Factory.Experien

Company: Marsh Description: This is a hands-on leadership role. You lead a squad of data engineers and you also build things yourself. You're the person who can whiteboard a data model in the morning, pair with an engineer on a tricky pipeline in the afternoon and present a delivery plan to a business stakeholder before end of day. You don't just point; you drive. You'll own technical delivery for priority initiatives within Marsh's Innovation & Data Office (IDO). Your first assignment will like

Project description The project focuses on designing and delivering scalable cloud-based data engineering solutions on Microsoft Azure. The role will support large-scale data integration, analytics, machine learning, AI solutions, and business intelligence through modern data platforms and automated ETL/ELT pipelines. Responsibilities Design, develop, and optimize ETL/ELT solutions using Azure Databricks, LakeBase, and Spark. Build and deploy large-scale data pipelines supporting analytics, mac